Overview

Brought to you by YData

Dataset statistics

Number of variables154
Number of observations10
Missing cells0
Missing cells (%)0.0%
Total size in memory12.1 KiB
Average record size in memory1.2 KiB

Variable types

Text3
Numeric151

Alerts

Rating has constant value "AAA" Constant
FundaIndxint has unique values Unique
FundaIndxsga has unique values Unique
monthvwretd has unique values Unique
monthvwretx has unique values Unique
monthewretd has unique values Unique
monthewretx has unique values Unique
monthsprtrn has unique values Unique
monthspindx has unique values Unique
monthCAP1RET has unique values Unique
monthCAP2RET has unique values Unique
monthCAP3RET has unique values Unique
monthCAP4RET has unique values Unique
monthCAP5RET has unique values Unique
monthCAP6RET has unique values Unique
monthCAP7RET has unique values Unique
monthCAP8RET has unique values Unique
monthCAP9RET has unique values Unique
monthCAP10RET has unique values Unique
monthtotval has unique values Unique
monthtotcnt has unique values Unique
monthusdval has unique values Unique
monthusdcnt has unique values Unique
monthprtcnt has unique values Unique
monthtotret has unique values Unique
monthtotind has unique values Unique
monthcapret has unique values Unique
monthcapind has unique values Unique
monthincret has unique values Unique
monthincind has unique values Unique
SPIndvwretd has unique values Unique
SPIndvwretx has unique values Unique
SPIndewretd has unique values Unique
SPIndewretx has unique values Unique
SPIndtotval has unique values Unique
SPIndtotcnt has unique values Unique
SPIndusdval has unique values Unique
SPIndusdcnt has unique values Unique
SPIndspindx has unique values Unique
SPIndsprtrn has unique values Unique
SPporvwretd has unique values Unique
SPporvwretx has unique values Unique
SPporewretd has unique values Unique
SPporewretx has unique values Unique
SPportotval has unique values Unique
SPportotcnt has unique values Unique
SPporusdval has unique values Unique
SPporusdcnt has unique values Unique
SPporspindx has unique values Unique
SPporsprtrn has unique values Unique
usind2CRSPMEV1 has unique values Unique
usind2CRSPMEG1 has unique values Unique
usind2CRSPLCV1 has unique values Unique
usind2CRSPLCG1 has unique values Unique
usind2CRSPMIV1 has unique values Unique
usind2CRSPMIG1 has unique values Unique
usind2CRSPSCV1 has unique values Unique
usind2CRSPSCG1 has unique values Unique
usind2CRSPMEVT has unique values Unique
usind2CRSPMEGT has unique values Unique
usind2CRSPLCVT has unique values Unique
usind2CRSPLCGT has unique values Unique
usind2CRSPMIVT has unique values Unique
usind2CRSPMIGT has unique values Unique
usind2CRSPSCVT has unique values Unique
usind2CRSPSCGT has unique values Unique
stockvwretd has unique values Unique
stockvwretx has unique values Unique
stockvwTotVal has unique values Unique
stockvwUsdVal has unique values Unique
stockvwTotCnt has unique values Unique
stockvwUsdCnt has unique values Unique
stockewretd has unique values Unique
stockewretx has unique values Unique
stockewTotVal has unique values Unique
stockewUsdVal has unique values Unique
stockewTotCnt has unique values Unique
stockewUsdCnt has unique values Unique
stocksprtrn has unique values Unique
ustreb30ret has unique values Unique
ustreb30ind has unique values Unique
ustreb20ret has unique values Unique
ustreb20ind has unique values Unique
ustreb10ret has unique values Unique
ustreb10ind has unique values Unique
ustreb7ret has unique values Unique
ustreb7ind has unique values Unique
ustreb5ret has unique values Unique
ustreb5ind has unique values Unique
ustreb2ret has unique values Unique
ustreb2ind has unique values Unique
ustreb1ret has unique values Unique
ustreb1ind has unique values Unique
ustret90ret has unique values Unique
ustret90ind has unique values Unique
ustret30ret has unique values Unique
ustret30ind has unique values Unique
ustrecpiret has unique values Unique
ajexm has unique values Unique
ajpm has unique values Unique
cshtrm has unique values Unique
prccm has unique values Unique
prchm has unique values Unique
prclm has unique values Unique
trfm has unique values Unique
trt1m has unique values Unique
index_y has unique values Unique
CAPEI has unique values Unique
bm has unique values Unique
evm has unique values Unique
pe_op_basic has unique values Unique
pe_op_dil has unique values Unique
pe_exi has unique values Unique
pe_inc has unique values Unique
ps has unique values Unique
pcf has unique values Unique
npm has unique values Unique
opmbd has unique values Unique
opmad has unique values Unique
gpm has unique values Unique
ptpm has unique values Unique
cfm has unique values Unique
roa has unique values Unique
roe has unique values Unique
roce has unique values Unique
aftret_eq has unique values Unique
aftret_invcapx has unique values Unique
aftret_equity has unique values Unique
GProf has unique values Unique
equity_invcap has unique values Unique
debt_invcap has unique values Unique
totdebt_invcap has unique values Unique
capital_ratio has unique values Unique
cash_lt has unique values Unique
debt_at has unique values Unique
debt_ebitda has unique values Unique
lt_debt has unique values Unique
cash_debt has unique values Unique
lt_ppent has unique values Unique
dltt_be has unique values Unique
debt_assets has unique values Unique
debt_capital has unique values Unique
de_ratio has unique values Unique
at_turn has unique values Unique
rect_turn has unique values Unique
pay_turn has unique values Unique
sale_invcap has unique values Unique
sale_equity has unique values Unique
rd_sale has unique values Unique
adv_sale has unique values Unique
staff_sale has unique values Unique
accrual has unique values Unique

Reproduction

Analysis started2025-03-30 05:20:22.963949
Analysis finished2025-03-30 05:20:25.558380
Duration2.59 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Distinct3
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size160.0 B
2025-03-30T10:50:25.701524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.4
Min length3

Characters and Unicode

Total characters44
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)10.0%

Sample

1st rowFitch
2nd rowFitch
3rd rowS&P
4th rowS&P
5th rowS&P
ValueCountFrequency (%)
fitch 5
50.0%
s&p 4
40.0%
moody's 1
 
10.0%
2025-03-30T10:50:26.493056image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F 5
11.4%
i 5
11.4%
t 5
11.4%
c 5
11.4%
h 5
11.4%
S 4
9.1%
& 4
9.1%
P 4
9.1%
o 2
 
4.5%
M 1
 
2.3%
Other values (4) 4
9.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 44
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F 5
11.4%
i 5
11.4%
t 5
11.4%
c 5
11.4%
h 5
11.4%
S 4
9.1%
& 4
9.1%
P 4
9.1%
o 2
 
4.5%
M 1
 
2.3%
Other values (4) 4
9.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 44
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F 5
11.4%
i 5
11.4%
t 5
11.4%
c 5
11.4%
h 5
11.4%
S 4
9.1%
& 4
9.1%
P 4
9.1%
o 2
 
4.5%
M 1
 
2.3%
Other values (4) 4
9.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 44
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F 5
11.4%
i 5
11.4%
t 5
11.4%
c 5
11.4%
h 5
11.4%
S 4
9.1%
& 4
9.1%
P 4
9.1%
o 2
 
4.5%
M 1
 
2.3%
Other values (4) 4
9.1%

Rating
Text

Constant 

Distinct1
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size160.0 B
2025-03-30T10:50:26.723995image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters30
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAAA
2nd rowAAA
3rd rowAAA
4th rowAAA
5th rowAAA
ValueCountFrequency (%)
aaa 10
100.0%
2025-03-30T10:50:27.346449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 30
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A 30
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A 30
100.0%

FundaIndxint
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.681535562
Minimum-2.318068248
Maximum1.172028904
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:50:27.700807image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.318068248
5-th percentile-2.146306831
Q1-1.315352009
median-0.7074639031
Q3-0.1032288681
95-th percentile0.9401746961
Maximum1.172028904
Range3.490097152
Interquartile range (IQR)1.212123141

Descriptive statistics

Standard deviation1.103429353
Coefficient of variation (CV)-1.619034156
Kurtosis-0.6312847073
Mean-0.681535562
Median Absolute Deviation (MAD)0.6436916813
Skewness0.2292386276
Sum-6.81535562
Variance1.217556338
MonotonicityNot monotonic
2025-03-30T10:50:28.090990image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9598946321 1
10.0%
-1.318570161 1
10.0%
-1.93637621 1
10.0%
1.172028904 1
10.0%
-0.03118679817 1
10.0%
-2.318068248 1
10.0%
-1.305697554 1
10.0%
0.6567973312 1
10.0%
-0.455033174 1
10.0%
-0.3193550778 1
10.0%
ValueCountFrequency (%)
-2.318068248 1
10.0%
-1.93637621 1
10.0%
-1.318570161 1
10.0%
-1.305697554 1
10.0%
-0.9598946321 1
10.0%
ValueCountFrequency (%)
1.172028904 1
10.0%
0.6567973312 1
10.0%
-0.03118679817 1
10.0%
-0.3193550778 1
10.0%
-0.455033174 1
10.0%

FundaIndxsga
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1457307518
Minimum-1.019341467
Maximum0.749105677
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:50:28.493175image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.019341467
5-th percentile-0.9512757084
Q1-0.5776497486
median-0.1910216652
Q30.3887560575
95-th percentile0.6675038878
Maximum0.749105677
Range1.768447144
Interquartile range (IQR)0.9664058061

Descriptive statistics

Standard deviation0.6174412005
Coefficient of variation (CV)-4.236862797
Kurtosis-1.34369897
Mean-0.1457307518
Median Absolute Deviation (MAD)0.5564493823
Skewness0.1013064089
Sum-1.457307518
Variance0.3812336361
MonotonicityNot monotonic
2025-03-30T10:50:28.901953image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.5677683678 1
10.0%
0.749105677 1
10.0%
0.501426757 1
10.0%
-0.8680842254 1
10.0%
-0.4300253858 1
10.0%
0.05074395886 1
10.0%
-0.3677627827 1
10.0%
-0.6268578695 1
10.0%
-0.01428054771 1
10.0%
-1.019341467 1
10.0%
ValueCountFrequency (%)
-1.019341467 1
10.0%
-0.8680842254 1
10.0%
-0.6268578695 1
10.0%
-0.4300253858 1
10.0%
-0.3677627827 1
10.0%
ValueCountFrequency (%)
0.749105677 1
10.0%
0.5677683678 1
10.0%
0.501426757 1
10.0%
0.05074395886 1
10.0%
-0.01428054771 1
10.0%

monthvwretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2874140271
Minimum-1.231730768
Maximum1.372377797
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:50:29.355436image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.231730768
5-th percentile-1.071454727
Q1-0.7790999993
median-0.3648898443
Q3-0.1747206574
95-th percentile0.8985996986
Maximum1.372377797
Range2.604108564
Interquartile range (IQR)0.604379342

Descriptive statistics

Standard deviation0.7307193383
Coefficient of variation (CV)-2.542392748
Kurtosis2.368639367
Mean-0.2874140271
Median Absolute Deviation (MAD)0.3535040168
Skewness1.258530846
Sum-2.874140271
Variance0.5339507514
MonotonicityNot monotonic
2025-03-30T10:50:29.766883image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.1680707892 1
10.0%
-0.4718775241 1
10.0%
-0.875561788 1
10.0%
-0.4911635287 1
10.0%
-0.8750788229 1
10.0%
-1.231730768 1
10.0%
1.372377797 1
10.0%
0.3195375789 1
10.0%
-0.2579021645 1
10.0%
-0.1946702619 1
10.0%
ValueCountFrequency (%)
-1.231730768 1
10.0%
-0.875561788 1
10.0%
-0.8750788229 1
10.0%
-0.4911635287 1
10.0%
-0.4718775241 1
10.0%
ValueCountFrequency (%)
1.372377797 1
10.0%
0.3195375789 1
10.0%
-0.1680707892 1
10.0%
-0.1946702619 1
10.0%
-0.2579021645 1
10.0%

monthvwretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2734087411
Minimum-1.560505914
Maximum1.997008157
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:50:30.166617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.560505914
5-th percentile-1.472827407
Q1-0.9709916575
median-0.2547347758
Q3-0.01731389671
95-th percentile1.279056742
Maximum1.997008157
Range3.557514071
Interquartile range (IQR)0.9536777607

Descriptive statistics

Standard deviation1.020929812
Coefficient of variation (CV)-3.734078902
Kurtosis2.009674832
Mean-0.2734087411
Median Absolute Deviation (MAD)0.4763476935
Skewness1.029328574
Sum-2.734087411
Variance1.042297681
MonotonicityNot monotonic
2025-03-30T10:50:30.558871image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.365664786 1
10.0%
-0.2358598082 1
10.0%
-0.3746613284 1
10.0%
-0.2736097435 1
10.0%
0.04166526713 1
10.0%
-1.169768434 1
10.0%
-1.560505914 1
10.0%
0.4015605681 1
10.0%
-0.1942513882 1
10.0%
1.997008157 1
10.0%
ValueCountFrequency (%)
-1.560505914 1
10.0%
-1.365664786 1
10.0%
-1.169768434 1
10.0%
-0.3746613284 1
10.0%
-0.2736097435 1
10.0%
ValueCountFrequency (%)
1.997008157 1
10.0%
0.4015605681 1
10.0%
0.04166526713 1
10.0%
-0.1942513882 1
10.0%
-0.2358598082 1
10.0%

monthewretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5402999068
Minimum-2.326351713
Maximum2.257198281
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:50:30.955412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.326351713
5-th percentile-1.365403614
Q10.01233331385
median0.6857491431
Q31.323596455
95-th percentile2.010640677
Maximum2.257198281
Range4.583549995
Interquartile range (IQR)1.311263141

Descriptive statistics

Standard deviation1.272738933
Coefficient of variation (CV)2.355615682
Kurtosis2.247254774
Mean0.5402999068
Median Absolute Deviation (MAD)0.7421204511
Skewness-1.126562624
Sum5.402999068
Variance1.619864392
MonotonicityNot monotonic
2025-03-30T10:50:31.330002image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.6533997379 1
10.0%
1.709292495 1
10.0%
-2.326351713 1
10.0%
0.9969400683 1
10.0%
1.432481917 1
10.0%
-0.05175898471 1
10.0%
2.257198281 1
10.0%
0.7180985483 1
10.0%
0.2046102095 1
10.0%
-0.1909114914 1
10.0%
ValueCountFrequency (%)
-2.326351713 1
10.0%
-0.1909114914 1
10.0%
-0.05175898471 1
10.0%
0.2046102095 1
10.0%
0.6533997379 1
10.0%
ValueCountFrequency (%)
2.257198281 1
10.0%
1.709292495 1
10.0%
1.432481917 1
10.0%
0.9969400683 1
10.0%
0.7180985483 1
10.0%

monthewretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1149058895
Minimum-0.9759798083
Maximum1.005102162
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:50:31.685342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9759798083
5-th percentile-0.7904837935
Q1-0.4420742462
median0.2346201093
Q30.7222502303
95-th percentile0.9675418125
Maximum1.005102162
Range1.981081971
Interquartile range (IQR)1.164324476

Descriptive statistics

Standard deviation0.6931122003
Coefficient of variation (CV)6.031998911
Kurtosis-1.333986892
Mean0.1149058895
Median Absolute Deviation (MAD)0.6707414618
Skewness-0.1202821942
Sum1.149058895
Variance0.4804045222
MonotonicityNot monotonic
2025-03-30T10:50:32.132486image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.4480271398 1
10.0%
0.3031056661 1
10.0%
-0.5637664421 1
10.0%
0.2382962621 1
10.0%
0.9216347184 1
10.0%
0.8619650851 1
10.0%
0.2309439564 1
10.0%
1.005102162 1
10.0%
-0.9759798083 1
10.0%
-0.4242155652 1
10.0%
ValueCountFrequency (%)
-0.9759798083 1
10.0%
-0.5637664421 1
10.0%
-0.4480271398 1
10.0%
-0.4242155652 1
10.0%
0.2309439564 1
10.0%
ValueCountFrequency (%)
1.005102162 1
10.0%
0.9216347184 1
10.0%
0.8619650851 1
10.0%
0.3031056661 1
10.0%
0.2382962621 1
10.0%

monthsprtrn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01642114581
Minimum-2.119357368
Maximum1.388591121
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:50:32.586598image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.119357368
5-th percentile-1.96689706
Q1-0.2027449205
median0.2213488328
Q30.4792857307
95-th percentile1.370260218
Maximum1.388591121
Range3.507948489
Interquartile range (IQR)0.6820306513

Descriptive statistics

Standard deviation1.153633016
Coefficient of variation (CV)-70.25289402
Kurtosis0.1853774377
Mean-0.01642114581
Median Absolute Deviation (MAD)0.3824709223
Skewness-0.8365685554
Sum-0.1642114581
Variance1.330869137
MonotonicityNot monotonic
2025-03-30T10:50:32.991630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.5198722263 1
10.0%
0.2977602509 1
10.0%
-2.119357368 1
10.0%
-1.780556683 1
10.0%
-0.07577082722 1
10.0%
0.1449374148 1
10.0%
0.3575262438 1
10.0%
1.347855781 1
10.0%
1.388591121 1
10.0%
-0.2450696183 1
10.0%
ValueCountFrequency (%)
-2.119357368 1
10.0%
-1.780556683 1
10.0%
-0.2450696183 1
10.0%
-0.07577082722 1
10.0%
0.1449374148 1
10.0%
ValueCountFrequency (%)
1.388591121 1
10.0%
1.347855781 1
10.0%
0.5198722263 1
10.0%
0.3575262438 1
10.0%
0.2977602509 1
10.0%

monthspindx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01922758618
Minimum-0.7160561207
Maximum0.6314462935
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:50:33.424847image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7160561207
5-th percentile-0.6376854724
Q1-0.3985584312
median0.0182974024
Q30.3544902843
95-th percentile0.5559711973
Maximum0.6314462935
Range1.347502414
Interquartile range (IQR)0.7530487155

Descriptive statistics

Standard deviation0.4621941096
Coefficient of variation (CV)-24.03807245
Kurtosis-1.366609374
Mean-0.01922758618
Median Absolute Deviation (MAD)0.4182712352
Skewness-0.1324298991
Sum-0.1922758618
Variance0.2136233949
MonotonicityNot monotonic
2025-03-30T10:50:33.831873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.6314462935 1
10.0%
0.1696528895 1
10.0%
-0.1330580847 1
10.0%
-0.7160561207 1
10.0%
-0.2007129483 1
10.0%
0.4094134179 1
10.0%
-0.4645069255 1
10.0%
-0.5418991244 1
10.0%
0.1897208836 1
10.0%
0.4637238574 1
10.0%
ValueCountFrequency (%)
-0.7160561207 1
10.0%
-0.5418991244 1
10.0%
-0.4645069255 1
10.0%
-0.2007129483 1
10.0%
-0.1330580847 1
10.0%
ValueCountFrequency (%)
0.6314462935 1
10.0%
0.4637238574 1
10.0%
0.4094134179 1
10.0%
0.1897208836 1
10.0%
0.1696528895 1
10.0%

monthCAP1RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1763222769
Minimum-1.426125533
Maximum1.618802025
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:50:34.229078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.426125533
5-th percentile-1.407786383
Q1-0.4976943923
median0.3643174607
Q30.9369046167
95-th percentile1.374128383
Maximum1.618802025
Range3.044927558
Interquartile range (IQR)1.434599009

Descriptive statistics

Standard deviation1.046457559
Coefficient of variation (CV)5.934914054
Kurtosis-0.9487611371
Mean0.1763222769
Median Absolute Deviation (MAD)0.6493706803
Skewness-0.4725329431
Sum1.763222769
Variance1.095073423
MonotonicityNot monotonic
2025-03-30T10:50:34.593866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6499732119 1
10.0%
-1.426125533 1
10.0%
0.8907380838 1
10.0%
-0.0408579336 1
10.0%
1.618802025 1
10.0%
-1.385371866 1
10.0%
0.2105679776 1
10.0%
0.5180669438 1
10.0%
1.075082821 1
10.0%
0.952293461 1
10.0%
ValueCountFrequency (%)
-1.426125533 1
10.0%
-1.385371866 1
10.0%
-0.6499732119 1
10.0%
-0.0408579336 1
10.0%
0.2105679776 1
10.0%
ValueCountFrequency (%)
1.618802025 1
10.0%
1.075082821 1
10.0%
0.952293461 1
10.0%
0.8907380838 1
10.0%
0.5180669438 1
10.0%

monthCAP2RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.549708614
Minimum-0.8739503455
Maximum1.715756008
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:50:35.031477image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8739503455
5-th percentile-0.7973365614
Q1-0.1944843702
median0.4031072699
Q31.572405594
95-th percentile1.668196165
Maximum1.715756008
Range2.589706353
Interquartile range (IQR)1.766889964

Descriptive statistics

Standard deviation1.005327995
Coefficient of variation (CV)1.828837987
Kurtosis-1.701911662
Mean0.549708614
Median Absolute Deviation (MAD)1.120654526
Skewness-0.09746503678
Sum5.49708614
Variance1.010684378
MonotonicityNot monotonic
2025-03-30T10:50:35.464662image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.703697492 1
10.0%
1.610067469 1
10.0%
-0.8739503455 1
10.0%
1.53761156 1
10.0%
-0.2995091382 1
10.0%
0.5038156956 1
10.0%
1.584003606 1
10.0%
1.715756008 1
10.0%
0.1205899339 1
10.0%
0.3023988442 1
10.0%
ValueCountFrequency (%)
-0.8739503455 1
10.0%
-0.703697492 1
10.0%
-0.2995091382 1
10.0%
0.1205899339 1
10.0%
0.3023988442 1
10.0%
ValueCountFrequency (%)
1.715756008 1
10.0%
1.610067469 1
10.0%
1.584003606 1
10.0%
1.53761156 1
10.0%
0.5038156956 1
10.0%

monthCAP3RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1801586553
Minimum-1.8682004
Maximum3.141966977
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:50:35.856746image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.8682004
5-th percentile-1.562329245
Q1-0.9729412588
median-0.1668686881
Q31.31329841
95-th percentile2.547433007
Maximum3.141966977
Range5.010167377
Interquartile range (IQR)2.286239669

Descriptive statistics

Standard deviation1.583994162
Coefficient of variation (CV)8.792217946
Kurtosis-0.4216364164
Mean0.1801586553
Median Absolute Deviation (MAD)0.9565244753
Skewness0.6708932605
Sum1.801586553
Variance2.509037505
MonotonicityNot monotonic
2025-03-30T10:50:36.281864image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.188486722 1
10.0%
3.141966977 1
10.0%
1.624382059 1
10.0%
1.820780377 1
10.0%
0.3800474635 1
10.0%
-0.7168662204 1
10.0%
-0.5812351731 1
10.0%
0.2474977968 1
10.0%
-1.058299605 1
10.0%
-1.8682004 1
10.0%
ValueCountFrequency (%)
-1.8682004 1
10.0%
-1.188486722 1
10.0%
-1.058299605 1
10.0%
-0.7168662204 1
10.0%
-0.5812351731 1
10.0%
ValueCountFrequency (%)
3.141966977 1
10.0%
1.820780377 1
10.0%
1.624382059 1
10.0%
0.3800474635 1
10.0%
0.2474977968 1
10.0%

monthCAP4RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3300041922
Minimum-1.821904733
Maximum0.886448197
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:50:36.684308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.821904733
5-th percentile-1.612812457
Q1-0.7892348785
median-0.3149028858
Q30.3135275033
95-th percentile0.7716275858
Maximum0.886448197
Range2.70835293
Interquartile range (IQR)1.102762382

Descriptive statistics

Standard deviation0.8736498493
Coefficient of variation (CV)-2.647390155
Kurtosis-0.7857551132
Mean-0.3300041922
Median Absolute Deviation (MAD)0.6014649184
Skewness-0.2978418184
Sum-3.300041922
Variance0.7632640592
MonotonicityNot monotonic
2025-03-30T10:50:37.089714image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.6312912833 1
10.0%
-1.357255231 1
10.0%
-0.8249683769 1
10.0%
0.3779614599 1
10.0%
-1.821904733 1
10.0%
-0.6820343832 1
10.0%
-0.5507270241 1
10.0%
0.886448197 1
10.0%
0.1202256334 1
10.0%
-0.07907874761 1
10.0%
ValueCountFrequency (%)
-1.821904733 1
10.0%
-1.357255231 1
10.0%
-0.8249683769 1
10.0%
-0.6820343832 1
10.0%
-0.5507270241 1
10.0%
ValueCountFrequency (%)
0.886448197 1
10.0%
0.6312912833 1
10.0%
0.3779614599 1
10.0%
0.1202256334 1
10.0%
-0.07907874761 1
10.0%

monthCAP5RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09616831273
Minimum-2.271885916
Maximum1.714527068
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:50:37.466233image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.271885916
5-th percentile-1.842167262
Q1-0.4471016545
median-0.1811615173
Q30.5736032407
95-th percentile1.559238327
Maximum1.714527068
Range3.986412985
Interquartile range (IQR)1.020704895

Descriptive statistics

Standard deviation1.186348652
Coefficient of variation (CV)-12.33616997
Kurtosis0.1394176909
Mean-0.09616831273
Median Absolute Deviation (MAD)0.6438938256
Skewness-0.1999431333
Sum-0.9616831273
Variance1.407423123
MonotonicityNot monotonic
2025-03-30T10:50:37.881078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.714527068 1
10.0%
-1.316955574 1
10.0%
1.369440976 1
10.0%
0.7940170735 1
10.0%
-0.4937705777 1
10.0%
-0.3070948847 1
10.0%
-0.08763825782 1
10.0%
-0.1237895878 1
10.0%
-2.271885916 1
10.0%
-0.2385334468 1
10.0%
ValueCountFrequency (%)
-2.271885916 1
10.0%
-1.316955574 1
10.0%
-0.4937705777 1
10.0%
-0.3070948847 1
10.0%
-0.2385334468 1
10.0%
ValueCountFrequency (%)
1.714527068 1
10.0%
1.369440976 1
10.0%
0.7940170735 1
10.0%
-0.08763825782 1
10.0%
-0.1237895878 1
10.0%

monthCAP6RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1730004025
Minimum-0.9870817703
Maximum1.563735616
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:50:38.281578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9870817703
5-th percentile-0.9157032197
Q1-0.1904923402
median0.1625322827
Q30.6832070382
95-th percentile1.232202064
Maximum1.563735616
Range2.550817386
Interquartile range (IQR)0.8736993784

Descriptive statistics

Standard deviation0.7720423502
Coefficient of variation (CV)4.462662162
Kurtosis-0.08220400314
Mean0.1730004025
Median Absolute Deviation (MAD)0.5181696128
Skewness0.1742734378
Sum1.730004025
Variance0.5960493905
MonotonicityNot monotonic
2025-03-30T10:50:38.673427image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.828462769 1
10.0%
0.3224907157 1
10.0%
0.8034458124 1
10.0%
0.2439643213 1
10.0%
-0.2328934132 1
10.0%
-0.9870817703 1
10.0%
0.8269943891 1
10.0%
1.563735616 1
10.0%
0.08110024404 1
10.0%
-0.06328912114 1
10.0%
ValueCountFrequency (%)
-0.9870817703 1
10.0%
-0.828462769 1
10.0%
-0.2328934132 1
10.0%
-0.06328912114 1
10.0%
0.08110024404 1
10.0%
ValueCountFrequency (%)
1.563735616 1
10.0%
0.8269943891 1
10.0%
0.8034458124 1
10.0%
0.3224907157 1
10.0%
0.2439643213 1
10.0%

monthCAP7RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08193988591
Minimum-1.095301615
Maximum2.173738373
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:50:39.051974image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.095301615
5-th percentile-0.97940248
Q1-0.6487432887
median-0.4743406444
Q30.1181689062
95-th percentile1.717655962
Maximum2.173738373
Range3.269039989
Interquartile range (IQR)0.7669121949

Descriptive statistics

Standard deviation1.015452362
Coefficient of variation (CV)-12.39265042
Kurtosis1.796338561
Mean-0.08193988591
Median Absolute Deviation (MAD)0.2891478815
Skewness1.52753051
Sum-0.8193988591
Variance1.031143499
MonotonicityNot monotonic
2025-03-30T10:50:39.463299image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.4643203445 1
10.0%
-0.3190076668 1
10.0%
1.160221904 1
10.0%
-0.4843609443 1
10.0%
-1.095301615 1
10.0%
-0.8377479816 1
10.0%
0.2638944305 1
10.0%
2.173738373 1
10.0%
-0.6892290702 1
10.0%
-0.5272859442 1
10.0%
ValueCountFrequency (%)
-1.095301615 1
10.0%
-0.8377479816 1
10.0%
-0.6892290702 1
10.0%
-0.5272859442 1
10.0%
-0.4843609443 1
10.0%
ValueCountFrequency (%)
2.173738373 1
10.0%
1.160221904 1
10.0%
0.2638944305 1
10.0%
-0.3190076668 1
10.0%
-0.4643203445 1
10.0%

monthCAP8RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3217145186
Minimum-1.257211275
Maximum1.003498454
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:50:39.859588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.257211275
5-th percentile-1.167438243
Q1-0.7388824809
median-0.5871785135
Q30.2147875325
95-th percentile0.8469488287
Maximum1.003498454
Range2.260709728
Interquartile range (IQR)0.9536700134

Descriptive statistics

Standard deviation0.7555659609
Coefficient of variation (CV)-2.348560346
Kurtosis-0.6987636322
Mean-0.3217145186
Median Absolute Deviation (MAD)0.333697248
Skewness0.7428962934
Sum-3.217145186
Variance0.5708799213
MonotonicityNot monotonic
2025-03-30T10:50:40.702052image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.003498454 1
10.0%
-1.057715648 1
10.0%
-0.6034222988 1
10.0%
-1.257211275 1
10.0%
-0.4288429356 1
10.0%
-0.784035875 1
10.0%
0.4293310218 1
10.0%
-0.5951017942 1
10.0%
-0.5792552328 1
10.0%
0.6556103983 1
10.0%
ValueCountFrequency (%)
-1.257211275 1
10.0%
-1.057715648 1
10.0%
-0.784035875 1
10.0%
-0.6034222988 1
10.0%
-0.5951017942 1
10.0%
ValueCountFrequency (%)
1.003498454 1
10.0%
0.6556103983 1
10.0%
0.4293310218 1
10.0%
-0.4288429356 1
10.0%
-0.5792552328 1
10.0%

monthCAP9RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1473386252
Minimum-2.384356675
Maximum1.401565738
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:50:41.081613image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.384356675
5-th percentile-2.008339486
Q1-0.7836387014
median0.218399275
Q30.3508667517
95-th percentile1.25937831
Maximum1.401565738
Range3.785922413
Interquartile range (IQR)1.134505453

Descriptive statistics

Standard deviation1.172217998
Coefficient of variation (CV)-7.955944997
Kurtosis0.0105979435
Mean-0.1473386252
Median Absolute Deviation (MAD)0.6301157641
Skewness-0.74068366
Sum-1.473386252
Variance1.374095036
MonotonicityNot monotonic
2025-03-30T10:50:41.513045image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9866389846 1
10.0%
1.401565738 1
10.0%
0.3532073945 1
10.0%
-1.548762922 1
10.0%
0.3046618287 1
10.0%
-2.384356675 1
10.0%
0.1321367213 1
10.0%
0.3438448231 1
10.0%
1.085593676 1
10.0%
-0.1746378518 1
10.0%
ValueCountFrequency (%)
-2.384356675 1
10.0%
-1.548762922 1
10.0%
-0.9866389846 1
10.0%
-0.1746378518 1
10.0%
0.1321367213 1
10.0%
ValueCountFrequency (%)
1.401565738 1
10.0%
1.085593676 1
10.0%
0.3532073945 1
10.0%
0.3438448231 1
10.0%
0.3046618287 1
10.0%

monthCAP10RET
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06864211125
Minimum-1.450973262
Maximum2.110354368
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:50:41.932557image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.450973262
5-th percentile-1.032891111
Q1-0.425797945
median-0.004021978366
Q30.3349427233
95-th percentile1.50304264
Maximum2.110354368
Range3.56132763
Interquartile range (IQR)0.7607406683

Descriptive statistics

Standard deviation0.9337378626
Coefficient of variation (CV)13.60298868
Kurtosis2.32150994
Mean0.06864211125
Median Absolute Deviation (MAD)0.4763336083
Skewness0.8470249944
Sum0.6864211125
Variance0.871866396
MonotonicityNot monotonic
2025-03-30T10:50:42.336815image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.1544655189 1
10.0%
0.4364251295 1
10.0%
0.02795145524 1
10.0%
-1.450973262 1
10.0%
-0.03599541198 1
10.0%
-0.516242087 1
10.0%
0.03049550475 1
10.0%
-0.5219018142 1
10.0%
0.7607727497 1
10.0%
2.110354368 1
10.0%
ValueCountFrequency (%)
-1.450973262 1
10.0%
-0.5219018142 1
10.0%
-0.516242087 1
10.0%
-0.1544655189 1
10.0%
-0.03599541198 1
10.0%
ValueCountFrequency (%)
2.110354368 1
10.0%
0.7607727497 1
10.0%
0.4364251295 1
10.0%
0.03049550475 1
10.0%
0.02795145524 1
10.0%

monthtotval
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6290425632
Minimum-2.52348747
Maximum0.550095057
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:50:42.747226image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.52348747
5-th percentile-2.223045106
Q1-1.393734498
median-0.4127179672
Q30.2670082768
95-th percentile0.5125787418
Maximum0.550095057
Range3.073582527
Interquartile range (IQR)1.660742775

Descriptive statistics

Standard deviation1.069149145
Coefficient of variation (CV)-1.699645154
Kurtosis-0.9361126166
Mean-0.6290425632
Median Absolute Deviation (MAD)0.8141607241
Skewness-0.5823188965
Sum-6.290425632
Variance1.143079893
MonotonicityNot monotonic
2025-03-30T10:50:43.167450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.1237283363 1
10.0%
0.4667254676 1
10.0%
-0.9598279969 1
10.0%
-1.855837771 1
10.0%
0.3361600463 1
10.0%
0.05955296831 1
10.0%
-0.7017075981 1
10.0%
-2.52348747 1
10.0%
-1.538369999 1
10.0%
0.550095057 1
10.0%
ValueCountFrequency (%)
-2.52348747 1
10.0%
-1.855837771 1
10.0%
-1.538369999 1
10.0%
-0.9598279969 1
10.0%
-0.7017075981 1
10.0%
ValueCountFrequency (%)
0.550095057 1
10.0%
0.4667254676 1
10.0%
0.3361600463 1
10.0%
0.05955296831 1
10.0%
-0.1237283363 1
10.0%

monthtotcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01538555573
Minimum-1.126546812
Maximum1.771095899
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:50:43.561343image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.126546812
5-th percentile-0.98328786
Q1-0.4308586032
median-0.1046988801
Q30.3696099749
95-th percentile1.276901542
Maximum1.771095899
Range2.897642712
Interquartile range (IQR)0.8004685781

Descriptive statistics

Standard deviation0.8309524667
Coefficient of variation (CV)54.00860921
Kurtosis1.135948352
Mean0.01538555573
Median Absolute Deviation (MAD)0.4514536888
Skewness0.8533765985
Sum0.1538555573
Variance0.6904820019
MonotonicityNot monotonic
2025-03-30T10:50:43.928170image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.3924651411 1
10.0%
0.6728862163 1
10.0%
-0.8081935851 1
10.0%
-0.3107544718 1
10.0%
0.1013567115 1
10.0%
-0.4419681973 1
10.0%
-1.126546812 1
10.0%
1.771095899 1
10.0%
-0.397529821 1
10.0%
0.3010444763 1
10.0%
ValueCountFrequency (%)
-1.126546812 1
10.0%
-0.8081935851 1
10.0%
-0.4419681973 1
10.0%
-0.397529821 1
10.0%
-0.3107544718 1
10.0%
ValueCountFrequency (%)
1.771095899 1
10.0%
0.6728862163 1
10.0%
0.3924651411 1
10.0%
0.3010444763 1
10.0%
0.1013567115 1
10.0%

monthusdval
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02437774476
Minimum-2.375666011
Maximum1.485868276
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:50:44.355221image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.375666011
5-th percentile-2.168891537
Q1-0.4438419888
median0.3339211128
Q30.8494211493
95-th percentile1.219787507
Maximum1.485868276
Range3.861534287
Interquartile range (IQR)1.293263138

Descriptive statistics

Standard deviation1.260521078
Coefficient of variation (CV)-51.70786265
Kurtosis0.02801469817
Mean-0.02437774476
Median Absolute Deviation (MAD)0.5552983285
Skewness-0.9928793746
Sum-0.2437774476
Variance1.588913388
MonotonicityNot monotonic
2025-03-30T10:50:44.815184image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.05760796372 1
10.0%
-2.375666011 1
10.0%
0.5466953238 1
10.0%
0.1211469018 1
10.0%
-0.5725866638 1
10.0%
1.485868276 1
10.0%
0.8945776792 1
10.0%
0.8838612035 1
10.0%
-1.91616718 1
10.0%
0.7461009869 1
10.0%
ValueCountFrequency (%)
-2.375666011 1
10.0%
-1.91616718 1
10.0%
-0.5725866638 1
10.0%
-0.05760796372 1
10.0%
0.1211469018 1
10.0%
ValueCountFrequency (%)
1.485868276 1
10.0%
0.8945776792 1
10.0%
0.8838612035 1
10.0%
0.7461009869 1
10.0%
0.5466953238 1
10.0%

monthusdcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5202038583
Minimum-0.9235253918
Maximum2.923355617
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:50:45.257176image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9235253918
5-th percentile-0.8459456911
Q1-0.2492129776
median0.3815621563
Q31.005544389
95-th percentile2.343206337
Maximum2.923355617
Range3.846881009
Interquartile range (IQR)1.254757367

Descriptive statistics

Standard deviation1.174734245
Coefficient of variation (CV)2.258219015
Kurtosis0.5430960609
Mean0.5202038583
Median Absolute Deviation (MAD)0.6417526616
Skewness0.8175876268
Sum5.202038583
Variance1.380000546
MonotonicityNot monotonic
2025-03-30T10:50:45.718476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.173531829 1
10.0%
0.9949816688 1
10.0%
0.5911086135 1
10.0%
-0.9235253918 1
10.0%
-0.7511260569 1
10.0%
0.172015699 1
10.0%
-0.2744400271 1
10.0%
1.634134993 1
10.0%
2.923355617 1
10.0%
1.009065296 1
10.0%
ValueCountFrequency (%)
-0.9235253918 1
10.0%
-0.7511260569 1
10.0%
-0.2744400271 1
10.0%
-0.173531829 1
10.0%
0.172015699 1
10.0%
ValueCountFrequency (%)
2.923355617 1
10.0%
1.634134993 1
10.0%
1.009065296 1
10.0%
0.9949816688 1
10.0%
0.5911086135 1
10.0%

monthprtcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3000625164
Minimum-1.444517337
Maximum1.871747819
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:50:46.136691image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.444517337
5-th percentile-1.396453776
Q1-0.9993265127
median0.6756428516
Q31.488070923
95-th percentile1.87125982
Maximum1.871747819
Range3.316265156
Interquartile range (IQR)2.487397436

Descriptive statistics

Standard deviation1.345081487
Coefficient of variation (CV)4.482670823
Kurtosis-1.835247648
Mean0.3000625164
Median Absolute Deviation (MAD)1.195562746
Skewness-0.1599069313
Sum3.000625164
Variance1.809244208
MonotonicityNot monotonic
2025-03-30T10:50:46.531256image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.337709424 1
10.0%
-0.7971427244 1
10.0%
1.871747819 1
10.0%
-1.066721109 1
10.0%
1.870663376 1
10.0%
-1.444517337 1
10.0%
0.701324137 1
10.0%
1.699632417 1
10.0%
0.6499615662 1
10.0%
0.8533864433 1
10.0%
ValueCountFrequency (%)
-1.444517337 1
10.0%
-1.337709424 1
10.0%
-1.066721109 1
10.0%
-0.7971427244 1
10.0%
0.6499615662 1
10.0%
ValueCountFrequency (%)
1.871747819 1
10.0%
1.870663376 1
10.0%
1.699632417 1
10.0%
0.8533864433 1
10.0%
0.701324137 1
10.0%

monthtotret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4759474944
Minimum-0.9065698818
Maximum1.594855349
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:50:46.950823image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9065698818
5-th percentile-0.8540801464
Q1-0.2825988903
median0.6891535935
Q31.301141048
95-th percentile1.584679417
Maximum1.594855349
Range2.50142523
Interquartile range (IQR)1.583739938

Descriptive statistics

Standard deviation0.9513307641
Coefficient of variation (CV)1.998814523
Kurtosis-1.479238358
Mean0.4759474944
Median Absolute Deviation (MAD)0.8214826054
Skewness-0.268727085
Sum4.759474944
Variance0.9050302227
MonotonicityNot monotonic
2025-03-30T10:50:47.363815image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.02870859021 1
10.0%
0.8088929201 1
10.0%
0.857473498 1
10.0%
0.5694142669 1
10.0%
1.449030231 1
10.0%
-0.3672289903 1
10.0%
1.594855349 1
10.0%
1.572242167 1
10.0%
-0.7899260253 1
10.0%
-0.9065698818 1
10.0%
ValueCountFrequency (%)
-0.9065698818 1
10.0%
-0.7899260253 1
10.0%
-0.3672289903 1
10.0%
-0.02870859021 1
10.0%
0.5694142669 1
10.0%
ValueCountFrequency (%)
1.594855349 1
10.0%
1.572242167 1
10.0%
1.449030231 1
10.0%
0.857473498 1
10.0%
0.8088929201 1
10.0%

monthtotind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4822808266
Minimum-1.149154884
Maximum1.757583772
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:50:47.735847image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.149154884
5-th percentile-0.9698975736
Q1-0.5135715198
median0.6596299704
Q31.451914788
95-th percentile1.681795063
Maximum1.757583772
Range2.906738656
Interquartile range (IQR)1.965486308

Descriptive statistics

Standard deviation1.079201414
Coefficient of variation (CV)2.237703335
Kurtosis-1.628679876
Mean0.4822808266
Median Absolute Deviation (MAD)0.8798348093
Skewness-0.3065364329
Sum4.822808266
Variance1.164675692
MonotonicityNot monotonic
2025-03-30T10:50:48.144480image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.757583772 1
10.0%
0.6636560279 1
10.0%
-0.7508053051 1
10.0%
1.48976514 1
10.0%
-0.129909783 1
10.0%
1.338363731 1
10.0%
-1.149154884 1
10.0%
1.589164419 1
10.0%
0.6556039129 1
10.0%
-0.6414587654 1
10.0%
ValueCountFrequency (%)
-1.149154884 1
10.0%
-0.7508053051 1
10.0%
-0.6414587654 1
10.0%
-0.129909783 1
10.0%
0.6556039129 1
10.0%
ValueCountFrequency (%)
1.757583772 1
10.0%
1.589164419 1
10.0%
1.48976514 1
10.0%
1.338363731 1
10.0%
0.6636560279 1
10.0%

monthcapret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4164160295
Minimum-1.076463081
Maximum1.873917421
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:50:48.541871image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.076463081
5-th percentile-1.056335255
Q1-0.4756009255
median0.7182300949
Q30.9613230296
95-th percentile1.762098918
Maximum1.873917421
Range2.950380502
Interquartile range (IQR)1.436923955

Descriptive statistics

Standard deviation1.05194468
Coefficient of variation (CV)2.526186807
Kurtosis-1.204471321
Mean0.4164160295
Median Absolute Deviation (MAD)0.7651376682
Skewness-0.2892011291
Sum4.164160295
Variance1.10658761
MonotonicityNot monotonic
2025-03-30T10:50:48.940491image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.076463081 1
10.0%
-1.03173458 1
10.0%
-0.6658534082 1
10.0%
0.7990882122 1
10.0%
1.873917421 1
10.0%
0.9382219977 1
10.0%
0.09515652268 1
10.0%
0.6373719776 1
10.0%
0.9690233736 1
10.0%
1.625431859 1
10.0%
ValueCountFrequency (%)
-1.076463081 1
10.0%
-1.03173458 1
10.0%
-0.6658534082 1
10.0%
0.09515652268 1
10.0%
0.6373719776 1
10.0%
ValueCountFrequency (%)
1.873917421 1
10.0%
1.625431859 1
10.0%
0.9690233736 1
10.0%
0.9382219977 1
10.0%
0.7990882122 1
10.0%

monthcapind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3037107352
Minimum-1.069221665
Maximum2.105834825
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:50:49.345688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.069221665
5-th percentile-0.8744022115
Q1-0.4126398631
median0.04170262432
Q31.08218055
95-th percentile1.686073794
Maximum2.105834825
Range3.175056491
Interquartile range (IQR)1.494820413

Descriptive statistics

Standard deviation1.00339232
Coefficient of variation (CV)3.303776271
Kurtosis-0.7596101394
Mean0.3037107352
Median Absolute Deviation (MAD)0.8360684253
Skewness0.4479406848
Sum3.037107352
Variance1.006796148
MonotonicityNot monotonic
2025-03-30T10:50:49.730301image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.4487165687 1
10.0%
0.19929731 1
10.0%
-1.069221665 1
10.0%
-0.1158920614 1
10.0%
1.035847305 1
10.0%
2.105834825 1
10.0%
-0.3044097463 1
10.0%
1.097624965 1
10.0%
1.173032534 1
10.0%
-0.6362895457 1
10.0%
ValueCountFrequency (%)
-1.069221665 1
10.0%
-0.6362895457 1
10.0%
-0.4487165687 1
10.0%
-0.3044097463 1
10.0%
-0.1158920614 1
10.0%
ValueCountFrequency (%)
2.105834825 1
10.0%
1.173032534 1
10.0%
1.097624965 1
10.0%
1.035847305 1
10.0%
0.19929731 1
10.0%

monthincret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3615365873
Minimum-1.232936354
Maximum1.942668124
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:50:50.115106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.232936354
5-th percentile-0.9677038087
Q1-0.4927800572
median0.2566337202
Q31.329671503
95-th percentile1.758931058
Maximum1.942668124
Range3.175604478
Interquartile range (IQR)1.82245156

Descriptive statistics

Standard deviation1.067338004
Coefficient of variation (CV)2.952226806
Kurtosis-1.230757425
Mean0.3615365873
Median Absolute Deviation (MAD)0.882841038
Skewness0.1220731426
Sum3.615365873
Variance1.139210415
MonotonicityNot monotonic
2025-03-30T10:50:50.517609image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.534363533 1
10.0%
0.7229862631 1
10.0%
1.531899917 1
10.0%
0.4854645246 1
10.0%
-0.6435306977 1
10.0%
-1.232936354 1
10.0%
-0.6088839378 1
10.0%
1.942668124 1
10.0%
0.02780291574 1
10.0%
-0.1444684153 1
10.0%
ValueCountFrequency (%)
-1.232936354 1
10.0%
-0.6435306977 1
10.0%
-0.6088839378 1
10.0%
-0.1444684153 1
10.0%
0.02780291574 1
10.0%
ValueCountFrequency (%)
1.942668124 1
10.0%
1.534363533 1
10.0%
1.531899917 1
10.0%
0.7229862631 1
10.0%
0.4854645246 1
10.0%

monthincind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4575070504
Minimum-0.7145145324
Maximum1.896412406
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:50:50.909231image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7145145324
5-th percentile-0.5912514036
Q1-0.1652304794
median0.2841647365
Q31.021604385
95-th percentile1.724678744
Maximum1.896412406
Range2.610926938
Interquartile range (IQR)1.186834864

Descriptive statistics

Standard deviation0.8568700058
Coefficient of variation (CV)1.872911041
Kurtosis-0.8867919721
Mean0.4575070504
Median Absolute Deviation (MAD)0.6311281363
Skewness0.375574598
Sum4.575070504
Variance0.7342262069
MonotonicityNot monotonic
2025-03-30T10:50:51.298763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.896412406 1
10.0%
0.8141694833 1
10.0%
0.1907149667 1
10.0%
1.514782046 1
10.0%
0.3776145063 1
10.0%
-0.2533303312 1
10.0%
-0.4405964685 1
10.0%
-0.7145145324 1
10.0%
1.090749352 1
10.0%
0.09906907592 1
10.0%
ValueCountFrequency (%)
-0.7145145324 1
10.0%
-0.4405964685 1
10.0%
-0.2533303312 1
10.0%
0.09906907592 1
10.0%
0.1907149667 1
10.0%
ValueCountFrequency (%)
1.896412406 1
10.0%
1.514782046 1
10.0%
1.090749352 1
10.0%
0.8141694833 1
10.0%
0.3776145063 1
10.0%

SPIndvwretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3150424034
Minimum-1.567707794
Maximum1.390522572
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:50:51.647642image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.567707794
5-th percentile-1.341729897
Q1-0.7029698959
median-0.3762397247
Q3-0.1475347657
95-th percentile1.002179136
Maximum1.390522572
Range2.958230365
Interquartile range (IQR)0.5554351303

Descriptive statistics

Standard deviation0.8285132807
Coefficient of variation (CV)-2.629846877
Kurtosis1.123188002
Mean-0.3150424034
Median Absolute Deviation (MAD)0.3140300534
Skewness0.7466573011
Sum-3.150424034
Variance0.6864342563
MonotonicityNot monotonic
2025-03-30T10:50:52.043290image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.567707794 1
10.0%
-0.1439583938 1
10.0%
-1.06553469 1
10.0%
-0.6648695426 1
10.0%
-0.1732792918 1
10.0%
1.390522572 1
10.0%
-0.5792001577 1
10.0%
-0.1582638814 1
10.0%
-0.7156700137 1
10.0%
0.5275371587 1
10.0%
ValueCountFrequency (%)
-1.567707794 1
10.0%
-1.06553469 1
10.0%
-0.7156700137 1
10.0%
-0.6648695426 1
10.0%
-0.5792001577 1
10.0%
ValueCountFrequency (%)
1.390522572 1
10.0%
0.5275371587 1
10.0%
-0.1439583938 1
10.0%
-0.1582638814 1
10.0%
-0.1732792918 1
10.0%

SPIndvwretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.224613085
Minimum-1.684700694
Maximum1.160493537
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)20.0%
Memory size160.0 B
2025-03-30T10:50:52.441203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.684700694
5-th percentile-1.098808838
Q10.1006550347
median0.2647434192
Q30.7823366747
95-th percentile1.135928689
Maximum1.160493537
Range2.845194231
Interquartile range (IQR)0.68168164

Descriptive statistics

Standard deviation0.8300873832
Coefficient of variation (CV)3.69563235
Kurtosis2.570615489
Mean0.224613085
Median Absolute Deviation (MAD)0.4128901059
Skewness-1.297406488
Sum2.24613085
Variance0.6890450637
MonotonicityNot monotonic
2025-03-30T10:50:52.847805image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.1433438826 1
10.0%
0.2458968269 1
10.0%
-1.684700694 1
10.0%
1.105904986 1
10.0%
-0.3827187922 1
10.0%
0.2835900115 1
10.0%
1.160493537 1
10.0%
0.3671701602 1
10.0%
0.9207255129 1
10.0%
0.08642541879 1
10.0%
ValueCountFrequency (%)
-1.684700694 1
10.0%
-0.3827187922 1
10.0%
0.08642541879 1
10.0%
0.1433438826 1
10.0%
0.2458968269 1
10.0%
ValueCountFrequency (%)
1.160493537 1
10.0%
1.105904986 1
10.0%
0.9207255129 1
10.0%
0.3671701602 1
10.0%
0.2835900115 1
10.0%

SPIndewretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3136031057
Minimum-1.103637871
Maximum1.206480155
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:50:53.232095image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.103637871
5-th percentile-1.082676555
Q1-0.8958185914
median-0.3905136665
Q3-0.06769754829
95-th percentile0.8209730627
Maximum1.206480155
Range2.310118027
Interquartile range (IQR)0.8281210431

Descriptive statistics

Standard deviation0.7180947467
Coefficient of variation (CV)-2.289820265
Kurtosis0.9555108139
Mean-0.3136031057
Median Absolute Deviation (MAD)0.4603549886
Skewness0.970056707
Sum-3.136031057
Variance0.5156600653
MonotonicityNot monotonic
2025-03-30T10:50:53.624423image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.06551450906 1
10.0%
-0.2610940985 1
10.0%
-0.9862244863 1
10.0%
1.206480155 1
10.0%
-0.6246009068 1
10.0%
-1.057057168 1
10.0%
-0.07424666598 1
10.0%
-1.103637871 1
10.0%
0.3497977273 1
10.0%
-0.5199332345 1
10.0%
ValueCountFrequency (%)
-1.103637871 1
10.0%
-1.057057168 1
10.0%
-0.9862244863 1
10.0%
-0.6246009068 1
10.0%
-0.5199332345 1
10.0%
ValueCountFrequency (%)
1.206480155 1
10.0%
0.3497977273 1
10.0%
-0.06551450906 1
10.0%
-0.07424666598 1
10.0%
-0.2610940985 1
10.0%

SPIndewretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1969645317
Minimum-1.442726721
Maximum1.178228093
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:50:54.000228image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.442726721
5-th percentile-1.081678652
Q1-0.2301961375
median0.3227694598
Q30.8988583043
95-th percentile1.110572393
Maximum1.178228093
Range2.620954814
Interquartile range (IQR)1.129054442

Descriptive statistics

Standard deviation0.8383229797
Coefficient of variation (CV)4.256212894
Kurtosis-0.09269674142
Mean0.1969645317
Median Absolute Deviation (MAD)0.6018148127
Skewness-0.7134427465
Sum1.969645317
Variance0.7027854182
MonotonicityNot monotonic
2025-03-30T10:50:54.434579image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.1570442472 1
10.0%
0.4884946725 1
10.0%
1.027882094 1
10.0%
0.6848427373 1
10.0%
1.178228093 1
10.0%
-0.2204861542 1
10.0%
-0.6403976791 1
10.0%
-0.2334327986 1
10.0%
-1.442726721 1
10.0%
0.9701968267 1
10.0%
ValueCountFrequency (%)
-1.442726721 1
10.0%
-0.6403976791 1
10.0%
-0.2334327986 1
10.0%
-0.2204861542 1
10.0%
0.1570442472 1
10.0%
ValueCountFrequency (%)
1.178228093 1
10.0%
1.027882094 1
10.0%
0.9701968267 1
10.0%
0.6848427373 1
10.0%
0.4884946725 1
10.0%

SPIndtotval
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5725870956
Minimum-2.28971555
Maximum1.466455726
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:50:54.851878image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.28971555
5-th percentile-2.048682056
Q1-1.299659281
median-0.3914858471
Q3-0.1722102679
95-th percentile0.8571136065
Maximum1.466455726
Range3.756171276
Interquartile range (IQR)1.127449013

Descriptive statistics

Standard deviation1.070519629
Coefficient of variation (CV)-1.869618853
Kurtosis0.490776141
Mean-0.5725870956
Median Absolute Deviation (MAD)0.3625164278
Skewness0.1532426918
Sum-5.725870956
Variance1.146012276
MonotonicityNot monotonic
2025-03-30T10:50:55.264161image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.466455726 1
10.0%
0.1123621269 1
10.0%
-0.1703009655 1
10.0%
-0.5216089119 1
10.0%
-2.28971555 1
10.0%
-1.754085563 1
10.0%
-0.177938175 1
10.0%
-0.5951967309 1
10.0%
-0.2613627823 1
10.0%
-1.534480131 1
10.0%
ValueCountFrequency (%)
-2.28971555 1
10.0%
-1.754085563 1
10.0%
-1.534480131 1
10.0%
-0.5951967309 1
10.0%
-0.5216089119 1
10.0%
ValueCountFrequency (%)
1.466455726 1
10.0%
0.1123621269 1
10.0%
-0.1703009655 1
10.0%
-0.177938175 1
10.0%
-0.2613627823 1
10.0%

SPIndtotcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0587495884
Minimum-1.362911413
Maximum2.503796227
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:50:55.690295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.362911413
5-th percentile-1.164278706
Q1-0.8288531614
median-0.2923546003
Q30.6127885013
95-th percentile2.040408895
Maximum2.503796227
Range3.866707641
Interquartile range (IQR)1.441641663

Descriptive statistics

Standard deviation1.216865243
Coefficient of variation (CV)20.71274499
Kurtosis0.2581897722
Mean0.0587495884
Median Absolute Deviation (MAD)0.6931537634
Skewness0.9580682074
Sum0.587495884
Variance1.480761019
MonotonicityNot monotonic
2025-03-30T10:50:56.114659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.4129916341 1
10.0%
0.6621172915 1
10.0%
-0.8336361449 1
10.0%
-0.921505396 1
10.0%
-1.362911413 1
10.0%
-0.1717175666 1
10.0%
-0.8145042108 1
10.0%
0.4648021308 1
10.0%
2.503796227 1
10.0%
1.4740466 1
10.0%
ValueCountFrequency (%)
-1.362911413 1
10.0%
-0.921505396 1
10.0%
-0.8336361449 1
10.0%
-0.8145042108 1
10.0%
-0.4129916341 1
10.0%
ValueCountFrequency (%)
2.503796227 1
10.0%
1.4740466 1
10.0%
0.6621172915 1
10.0%
0.4648021308 1
10.0%
-0.1717175666 1
10.0%

SPIndusdval
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5829440462
Minimum-2.412113905
Maximum0.9337402925
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:50:56.556656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.412113905
5-th percentile-1.929285429
Q1-1.279929124
median-0.7894707287
Q30.4509522657
95-th percentile0.8859780502
Maximum0.9337402925
Range3.345854198
Interquartile range (IQR)1.730881389

Descriptive statistics

Standard deviation1.11608047
Coefficient of variation (CV)-1.914558486
Kurtosis-0.8895609982
Mean-0.5829440462
Median Absolute Deviation (MAD)0.5234907864
Skewness0.13899786
Sum-5.829440462
Variance1.245635616
MonotonicityNot monotonic
2025-03-30T10:50:56.979000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.5140830527 1
10.0%
0.7590903954 1
10.0%
-1.286761295 1
10.0%
-1.25943261 1
10.0%
-2.412113905 1
10.0%
-0.4734621232 1
10.0%
0.8276019763 1
10.0%
-1.064858405 1
10.0%
0.9337402925 1
10.0%
-1.339161736 1
10.0%
ValueCountFrequency (%)
-2.412113905 1
10.0%
-1.339161736 1
10.0%
-1.286761295 1
10.0%
-1.25943261 1
10.0%
-1.064858405 1
10.0%
ValueCountFrequency (%)
0.9337402925 1
10.0%
0.8276019763 1
10.0%
0.7590903954 1
10.0%
-0.4734621232 1
10.0%
-0.5140830527 1
10.0%

SPIndusdcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8110731474
Minimum-1.481778305
Maximum1.921167621
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)20.0%
Memory size160.0 B
2025-03-30T10:50:57.389722image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.481778305
5-th percentile-0.9673390594
Q10.6481348242
median0.8862181825
Q31.605626959
95-th percentile1.907139895
Maximum1.921167621
Range3.402945926
Interquartile range (IQR)0.9574921349

Descriptive statistics

Standard deviation1.059608348
Coefficient of variation (CV)1.306427604
Kurtosis1.368566178
Mean0.8110731474
Median Absolute Deviation (MAD)0.6152075497
Skewness-1.180281569
Sum8.110731474
Variance1.122769852
MonotonicityNot monotonic
2025-03-30T10:50:57.839989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.709828186 1
10.0%
-1.481778305 1
10.0%
-0.3385799807 1
10.0%
0.7536242853 1
10.0%
1.01881208 1
10.0%
1.293023278 1
10.0%
0.6239499418 1
10.0%
1.889994897 1
10.0%
1.921167621 1
10.0%
0.7206894712 1
10.0%
ValueCountFrequency (%)
-1.481778305 1
10.0%
-0.3385799807 1
10.0%
0.6239499418 1
10.0%
0.7206894712 1
10.0%
0.7536242853 1
10.0%
ValueCountFrequency (%)
1.921167621 1
10.0%
1.889994897 1
10.0%
1.709828186 1
10.0%
1.293023278 1
10.0%
1.01881208 1
10.0%

SPIndspindx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1660517555
Minimum-1.506873319
Maximum1.667062436
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:50:58.248482image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.506873319
5-th percentile-1.250047506
Q1-0.5522013247
median0.03246701095
Q30.9690338837
95-th percentile1.63558858
Maximum1.667062436
Range3.173935755
Interquartile range (IQR)1.521235208

Descriptive statistics

Standard deviation1.073983453
Coefficient of variation (CV)6.467763315
Kurtosis-1.100511209
Mean0.1660517555
Median Absolute Deviation (MAD)0.8324542862
Skewness0.0570029488
Sum1.660517555
Variance1.153440457
MonotonicityNot monotonic
2025-03-30T10:50:58.664020image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.506873319 1
10.0%
0.7287592831 1
10.0%
-0.6026718846 1
10.0%
-0.9361492893 1
10.0%
1.049125417 1
10.0%
-0.400789645 1
10.0%
1.597120534 1
10.0%
0.1374763451 1
10.0%
-0.07254232324 1
10.0%
1.667062436 1
10.0%
ValueCountFrequency (%)
-1.506873319 1
10.0%
-0.9361492893 1
10.0%
-0.6026718846 1
10.0%
-0.400789645 1
10.0%
-0.07254232324 1
10.0%
ValueCountFrequency (%)
1.667062436 1
10.0%
1.597120534 1
10.0%
1.049125417 1
10.0%
0.7287592831 1
10.0%
0.1374763451 1
10.0%

SPIndsprtrn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7989445679
Minimum-2.423046499
Maximum0.5947649148
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)90.0%
Memory size160.0 B
2025-03-30T10:50:59.049840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.423046499
5-th percentile-2.020882319
Q1-0.9881469411
median-0.7654794152
Q3-0.4492391348
95-th percentile0.2448484134
Maximum0.5947649148
Range3.017811414
Interquartile range (IQR)0.5389078063

Descriptive statistics

Standard deviation0.801477288
Coefficient of variation (CV)-1.003170082
Kurtosis1.577825582
Mean-0.7989445679
Median Absolute Deviation (MAD)0.2913210378
Skewness-0.450847665
Sum-7.989445679
Variance0.6423658432
MonotonicityNot monotonic
2025-03-30T10:50:59.437278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9991997055 1
10.0%
-0.5472836499 1
10.0%
-0.6885880246 1
10.0%
0.5947649148 1
10.0%
-2.423046499 1
10.0%
-0.1828273106 1
10.0%
-1.529348321 1
10.0%
-0.4165576298 1
10.0%
-0.8423708057 1
10.0%
-0.9549886479 1
10.0%
ValueCountFrequency (%)
-2.423046499 1
10.0%
-1.529348321 1
10.0%
-0.9991997055 1
10.0%
-0.9549886479 1
10.0%
-0.8423708057 1
10.0%
ValueCountFrequency (%)
0.5947649148 1
10.0%
-0.1828273106 1
10.0%
-0.4165576298 1
10.0%
-0.5472836499 1
10.0%
-0.6885880246 1
10.0%

SPporvwretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5490904822
Minimum-1.612018901
Maximum0.9943360799
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:50:59.841582image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.612018901
5-th percentile-1.465221581
Q1-1.217387678
median-0.9783579251
Q30.2589373139
95-th percentile0.8483269986
Maximum0.9943360799
Range2.606354981
Interquartile range (IQR)1.476324992

Descriptive statistics

Standard deviation0.9325570413
Coefficient of variation (CV)-1.698366793
Kurtosis-1.175984682
Mean-0.5490904822
Median Absolute Deviation (MAD)0.4576512683
Skewness0.7247600981
Sum-5.490904822
Variance0.8696626353
MonotonicityNot monotonic
2025-03-30T10:51:00.263970image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.612018901 1
10.0%
-1.235363027 1
10.0%
-0.3705000975 1
10.0%
0.4687497843 1
10.0%
0.9943360799 1
10.0%
0.6698714548 1
10.0%
-1.005853565 1
10.0%
-1.285802634 1
10.0%
-1.163461632 1
10.0%
-0.9508622855 1
10.0%
ValueCountFrequency (%)
-1.612018901 1
10.0%
-1.285802634 1
10.0%
-1.235363027 1
10.0%
-1.163461632 1
10.0%
-1.005853565 1
10.0%
ValueCountFrequency (%)
0.9943360799 1
10.0%
0.6698714548 1
10.0%
0.4687497843 1
10.0%
-0.3705000975 1
10.0%
-0.9508622855 1
10.0%

SPporvwretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.234845526
Minimum-1.630681781
Maximum0.8569393037
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:51:00.655087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.630681781
5-th percentile-1.376634952
Q1-0.8757521095
median-0.3293935579
Q30.5803319725
95-th percentile0.7973852654
Maximum0.8569393037
Range2.487621085
Interquartile range (IQR)1.456084082

Descriptive statistics

Standard deviation0.872585582
Coefficient of variation (CV)-3.715572517
Kurtosis-1.441003406
Mean-0.234845526
Median Absolute Deviation (MAD)0.8100446593
Skewness-0.1152274143
Sum-2.34845526
Variance0.7614055978
MonotonicityNot monotonic
2025-03-30T10:51:01.042751image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.630681781 1
10.0%
-1.066133271 1
10.0%
-0.3508847736 1
10.0%
0.7245969964 1
10.0%
-0.8927695259 1
10.0%
0.5539560471 1
10.0%
-0.8246998604 1
10.0%
0.5891239477 1
10.0%
-0.3079023423 1
10.0%
0.8569393037 1
10.0%
ValueCountFrequency (%)
-1.630681781 1
10.0%
-1.066133271 1
10.0%
-0.8927695259 1
10.0%
-0.8246998604 1
10.0%
-0.3508847736 1
10.0%
ValueCountFrequency (%)
0.8569393037 1
10.0%
0.7245969964 1
10.0%
0.5891239477 1
10.0%
0.5539560471 1
10.0%
-0.3079023423 1
10.0%

SPporewretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1265496188
Minimum-1.800700318
Maximum1.083735298
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:51:01.376250image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.800700318
5-th percentile-1.677579687
Q1-0.3419311055
median-0.001282975391
Q30.5059561127
95-th percentile1.005192772
Maximum1.083735298
Range2.884435616
Interquartile range (IQR)0.8478872182

Descriptive statistics

Standard deviation0.9462795628
Coefficient of variation (CV)-7.477537839
Kurtosis-0.1576498954
Mean-0.1265496188
Median Absolute Deviation (MAD)0.5001934605
Skewness-0.6717349562
Sum-1.265496188
Variance0.895445011
MonotonicityNot monotonic
2025-03-30T10:51:01.746565image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.3052660524 1
10.0%
0.0851220573 1
10.0%
-0.3541527899 1
10.0%
-0.002009655027 1
10.0%
-1.527098915 1
10.0%
0.9091963517 1
10.0%
1.083735298 1
10.0%
0.6462341312 1
10.0%
-1.800700318 1
10.0%
-0.0005562957548 1
10.0%
ValueCountFrequency (%)
-1.800700318 1
10.0%
-1.527098915 1
10.0%
-0.3541527899 1
10.0%
-0.3052660524 1
10.0%
-0.002009655027 1
10.0%
ValueCountFrequency (%)
1.083735298 1
10.0%
0.9091963517 1
10.0%
0.6462341312 1
10.0%
0.0851220573 1
10.0%
-0.0005562957548 1
10.0%

SPporewretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5872764219
Minimum-1.241042121
Maximum2.76613992
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:02.162716image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.241042121
5-th percentile-0.8127256218
Q1-0.1660370217
median0.6517645338
Q31.179055715
95-th percentile2.100602463
Maximum2.76613992
Range4.007182041
Interquartile range (IQR)1.345092736

Descriptive statistics

Standard deviation1.109370485
Coefficient of variation (CV)1.889009066
Kurtosis0.7507166171
Mean0.5872764219
Median Absolute Deviation (MAD)0.6747612176
Skewness0.3578778615
Sum5.872764219
Variance1.230702874
MonotonicityNot monotonic
2025-03-30T10:51:02.602332image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.7711177515 1
10.0%
-0.2892276782 1
10.0%
2.76613992 1
10.0%
-1.241042121 1
10.0%
1.105613113 1
10.0%
1.203536582 1
10.0%
-0.2005978149 1
10.0%
1.287167793 1
10.0%
0.532411316 1
10.0%
-0.06235464197 1
10.0%
ValueCountFrequency (%)
-1.241042121 1
10.0%
-0.2892276782 1
10.0%
-0.2005978149 1
10.0%
-0.06235464197 1
10.0%
0.532411316 1
10.0%
ValueCountFrequency (%)
2.76613992 1
10.0%
1.287167793 1
10.0%
1.203536582 1
10.0%
1.105613113 1
10.0%
0.7711177515 1
10.0%

SPportotval
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1216331597
Minimum-1.087681877
Maximum0.6470103644
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:03.038587image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.087681877
5-th percentile-0.9827907277
Q1-0.5725009457
median-0.0946576795
Q30.4519928458
95-th percentile0.6037276624
Maximum0.6470103644
Range1.734692241
Interquartile range (IQR)1.024493792

Descriptive statistics

Standard deviation0.6197186083
Coefficient of variation (CV)-5.094980761
Kurtosis-1.400892065
Mean-0.1216331597
Median Absolute Deviation (MAD)0.5835660826
Skewness-0.214642877
Sum-1.216331597
Variance0.3840511534
MonotonicityNot monotonic
2025-03-30T10:51:03.445068image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.2068617805 1
10.0%
0.6470103644 1
10.0%
0.5508265822 1
10.0%
-0.6334289642 1
10.0%
-0.2821877608 1
10.0%
0.09287240182 1
10.0%
0.533703201 1
10.0%
-0.8545904346 1
10.0%
-1.087681877 1
10.0%
-0.3897168902 1
10.0%
ValueCountFrequency (%)
-1.087681877 1
10.0%
-0.8545904346 1
10.0%
-0.6334289642 1
10.0%
-0.3897168902 1
10.0%
-0.2821877608 1
10.0%
ValueCountFrequency (%)
0.6470103644 1
10.0%
0.5508265822 1
10.0%
0.533703201 1
10.0%
0.2068617805 1
10.0%
0.09287240182 1
10.0%

SPportotcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1500189466
Minimum-1.017334851
Maximum0.5351683093
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:51:03.854648image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.017334851
5-th percentile-0.8404482074
Q1-0.3459786928
median-0.1842940042
Q30.1305120642
95-th percentile0.4826513067
Maximum0.5351683093
Range1.55250316
Interquartile range (IQR)0.4764907569

Descriptive statistics

Standard deviation0.4685206807
Coefficient of variation (CV)-3.123076728
Kurtosis-0.0168684724
Mean-0.1500189466
Median Absolute Deviation (MAD)0.2913879394
Skewness-0.3094416506
Sum-1.500189466
Variance0.2195116283
MonotonicityNot monotonic
2025-03-30T10:51:04.270136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.2005205313 1
10.0%
0.5351683093 1
10.0%
-0.1680674772 1
10.0%
-0.6242534206 1
10.0%
-1.017334851 1
10.0%
0.4184638591 1
10.0%
0.1539301931 1
10.0%
-0.3630407734 1
10.0%
0.06025767733 1
10.0%
-0.2947924508 1
10.0%
ValueCountFrequency (%)
-1.017334851 1
10.0%
-0.6242534206 1
10.0%
-0.3630407734 1
10.0%
-0.2947924508 1
10.0%
-0.2005205313 1
10.0%
ValueCountFrequency (%)
0.5351683093 1
10.0%
0.4184638591 1
10.0%
0.1539301931 1
10.0%
0.06025767733 1
10.0%
-0.1680674772 1
10.0%

SPporusdval
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1334345779
Minimum-1.058525686
Maximum1.275093022
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:04.697960image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.058525686
5-th percentile-0.9572650454
Q1-0.2996663675
median0.09304645844
Q30.5910903844
95-th percentile1.197331381
Maximum1.275093022
Range2.333618708
Interquartile range (IQR)0.8907567519

Descriptive statistics

Standard deviation0.7672974693
Coefficient of variation (CV)5.750364569
Kurtosis-0.8049606098
Mean0.1334345779
Median Absolute Deviation (MAD)0.4841520749
Skewness-0.05029003783
Sum1.334345779
Variance0.5887454064
MonotonicityNot monotonic
2025-03-30T10:51:05.084706image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.058525686 1
10.0%
1.275093022 1
10.0%
0.06385316503 1
10.0%
1.102289375 1
10.0%
0.6098515438 1
10.0%
0.1222397518 1
10.0%
0.5348069062 1
10.0%
-0.358452606 1
10.0%
-0.8335020397 1
10.0%
-0.123307652 1
10.0%
ValueCountFrequency (%)
-1.058525686 1
10.0%
-0.8335020397 1
10.0%
-0.358452606 1
10.0%
-0.123307652 1
10.0%
0.06385316503 1
10.0%
ValueCountFrequency (%)
1.275093022 1
10.0%
1.102289375 1
10.0%
0.6098515438 1
10.0%
0.5348069062 1
10.0%
0.1222397518 1
10.0%

SPporusdcnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5565165298
Minimum-1.583187329
Maximum0.5988480074
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:51:05.449177image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.583187329
5-th percentile-1.512757184
Q1-1.320153974
median-0.5248232192
Q30.1922960776
95-th percentile0.5358675325
Maximum0.5988480074
Range2.182035336
Interquartile range (IQR)1.512450052

Descriptive statistics

Standard deviation0.8278823819
Coefficient of variation (CV)-1.48761508
Kurtosis-1.597423869
Mean-0.5565165298
Median Absolute Deviation (MAD)0.866883762
Skewness0.2181211667
Sum-5.565165298
Variance0.6853892383
MonotonicityNot monotonic
2025-03-30T10:51:05.844162image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.3827197931 1
10.0%
-0.5870218184 1
10.0%
-0.4626246201 1
10.0%
-1.210401696 1
10.0%
-1.356738067 1
10.0%
0.4588913964 1
10.0%
-1.583187329 1
10.0%
-1.426675895 1
10.0%
0.5988480074 1
10.0%
-0.3789750689 1
10.0%
ValueCountFrequency (%)
-1.583187329 1
10.0%
-1.426675895 1
10.0%
-1.356738067 1
10.0%
-1.210401696 1
10.0%
-0.5870218184 1
10.0%
ValueCountFrequency (%)
0.5988480074 1
10.0%
0.4588913964 1
10.0%
0.3827197931 1
10.0%
-0.3789750689 1
10.0%
-0.4626246201 1
10.0%

SPporspindx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1755684887
Minimum-1.379782412
Maximum1.762990315
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:06.193609image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.379782412
5-th percentile-1.238575427
Q1-0.6024938326
median0.1710664939
Q31.01578675
95-th percentile1.555988148
Maximum1.762990315
Range3.142772727
Interquartile range (IQR)1.618280582

Descriptive statistics

Standard deviation1.101202434
Coefficient of variation (CV)6.272210018
Kurtosis-1.664636619
Mean0.1755684887
Median Absolute Deviation (MAD)0.8247704977
Skewness-0.007284903931
Sum1.755684887
Variance1.2126468
MonotonicityNot monotonic
2025-03-30T10:51:06.593509image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.035736507 1
10.0%
-1.065989114 1
10.0%
-0.6058244788 1
10.0%
-0.3824901589 1
10.0%
-0.5925018938 1
10.0%
0.7246231468 1
10.0%
0.9559374758 1
10.0%
-1.379782412 1
10.0%
1.302985499 1
10.0%
1.762990315 1
10.0%
ValueCountFrequency (%)
-1.379782412 1
10.0%
-1.065989114 1
10.0%
-0.6058244788 1
10.0%
-0.5925018938 1
10.0%
-0.3824901589 1
10.0%
ValueCountFrequency (%)
1.762990315 1
10.0%
1.302985499 1
10.0%
1.035736507 1
10.0%
0.9559374758 1
10.0%
0.7246231468 1
10.0%

SPporsprtrn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2143907307
Minimum-0.8578210282
Maximum1.490936827
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:51:06.980035image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8578210282
5-th percentile-0.7938457311
Q1-0.2439789852
median0.2732808948
Q30.4553008194
95-th percentile1.283386058
Maximum1.490936827
Range2.348757855
Interquartile range (IQR)0.6992798047

Descriptive statistics

Standard deviation0.7287876117
Coefficient of variation (CV)3.399342916
Kurtosis-0.2313495533
Mean0.2143907307
Median Absolute Deviation (MAD)0.4418829535
Skewness0.1381201897
Sum2.143907307
Variance0.531131383
MonotonicityNot monotonic
2025-03-30T10:51:07.355388image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.8578210282 1
10.0%
0.3492168079 1
10.0%
0.4906621566 1
10.0%
1.029712896 1
10.0%
1.490936827 1
10.0%
-0.7156537013 1
10.0%
0.2910440329 1
10.0%
0.2555177566 1
10.0%
0.2033953101 1
10.0%
-0.3931037503 1
10.0%
ValueCountFrequency (%)
-0.8578210282 1
10.0%
-0.7156537013 1
10.0%
-0.3931037503 1
10.0%
0.2033953101 1
10.0%
0.2555177566 1
10.0%
ValueCountFrequency (%)
1.490936827 1
10.0%
1.029712896 1
10.0%
0.4906621566 1
10.0%
0.3492168079 1
10.0%
0.2910440329 1
10.0%

usind2CRSPMEV1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0959307232
Minimum-1.450621653
Maximum1.062356701
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:51:07.731395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.450621653
5-th percentile-1.24859184
Q1-0.5096933549
median-0.09085656394
Q30.5649259791
95-th percentile0.9162669814
Maximum1.062356701
Range2.512978354
Interquartile range (IQR)1.074619334

Descriptive statistics

Standard deviation0.7953674737
Coefficient of variation (CV)-8.291060957
Kurtosis-0.6217004943
Mean-0.0959307232
Median Absolute Deviation (MAD)0.6326744793
Skewness-0.183778841
Sum-0.959307232
Variance0.6326094182
MonotonicityNot monotonic
2025-03-30T10:51:08.113154image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.4004794928 1
10.0%
-0.5460979756 1
10.0%
0.7377128801 1
10.0%
-0.1241592075 1
10.0%
0.7192509831 1
10.0%
-0.05755392041 1
10.0%
-1.001666514 1
10.0%
0.1019509674 1
10.0%
-1.450621653 1
10.0%
1.062356701 1
10.0%
ValueCountFrequency (%)
-1.450621653 1
10.0%
-1.001666514 1
10.0%
-0.5460979756 1
10.0%
-0.4004794928 1
10.0%
-0.1241592075 1
10.0%
ValueCountFrequency (%)
1.062356701 1
10.0%
0.7377128801 1
10.0%
0.7192509831 1
10.0%
0.1019509674 1
10.0%
-0.05755392041 1
10.0%

usind2CRSPMEG1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3193600101
Minimum-2.884154436
Maximum1.296083449
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:08.480312image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.884154436
5-th percentile-2.264041405
Q1-0.8123300048
median-0.09777987344
Q30.2967949074
95-th percentile1.146398947
Maximum1.296083449
Range4.180237885
Interquartile range (IQR)1.109124912

Descriptive statistics

Standard deviation1.2279883
Coefficient of variation (CV)-3.845153622
Kurtosis0.9605607828
Mean-0.3193600101
Median Absolute Deviation (MAD)0.6245947826
Skewness-0.8929931657
Sum-3.193600101
Variance1.507955264
MonotonicityNot monotonic
2025-03-30T10:51:08.881401image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.3258834634 1
10.0%
0.2095292397 1
10.0%
-2.884154436 1
10.0%
-0.9233061019 1
10.0%
-0.4794017137 1
10.0%
0.1715987731 1
10.0%
0.9634512223 1
10.0%
-0.36715852 1
10.0%
-1.506125478 1
10.0%
1.296083449 1
10.0%
ValueCountFrequency (%)
-2.884154436 1
10.0%
-1.506125478 1
10.0%
-0.9233061019 1
10.0%
-0.4794017137 1
10.0%
-0.36715852 1
10.0%
ValueCountFrequency (%)
1.296083449 1
10.0%
0.9634512223 1
10.0%
0.3258834634 1
10.0%
0.2095292397 1
10.0%
0.1715987731 1
10.0%

usind2CRSPLCV1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7523996728
Minimum-2.130233596
Maximum-0.02996506649
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)100.0%
Memory size160.0 B
2025-03-30T10:51:09.289792image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.130233596
5-th percentile-1.870962677
Q1-1.029582016
median-0.7181339871
Q3-0.1549066537
95-th percentile-0.0818384899
Maximum-0.02996506649
Range2.100268529
Interquartile range (IQR)0.8746753626

Descriptive statistics

Standard deviation0.6889395717
Coefficient of variation (CV)-0.9156563946
Kurtosis0.2015248213
Mean-0.7523996728
Median Absolute Deviation (MAD)0.5576059344
Skewness-0.9166073647
Sum-7.523996728
Variance0.4746377334
MonotonicityNot monotonic
2025-03-30T10:51:09.654218image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.1492852547 1
10.0%
-1.554075998 1
10.0%
-0.7877401609 1
10.0%
-2.130233596 1
10.0%
-0.8015739381 1
10.0%
-0.02996506649 1
10.0%
-0.1452393407 1
10.0%
-0.1717708506 1
10.0%
-0.6485278132 1
10.0%
-1.105584709 1
10.0%
ValueCountFrequency (%)
-2.130233596 1
10.0%
-1.554075998 1
10.0%
-1.105584709 1
10.0%
-0.8015739381 1
10.0%
-0.7877401609 1
10.0%
ValueCountFrequency (%)
-0.02996506649 1
10.0%
-0.1452393407 1
10.0%
-0.1492852547 1
10.0%
-0.1717708506 1
10.0%
-0.6485278132 1
10.0%

usind2CRSPLCG1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1147576936
Minimum-0.9295330772
Maximum1.609282524
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:51:10.020540image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9295330772
5-th percentile-0.9089128886
Q1-0.719898656
median-0.2111496967
Q30.1591146082
95-th percentile1.126419461
Maximum1.609282524
Range2.538815602
Interquartile range (IQR)0.8790132642

Descriptive statistics

Standard deviation0.774558574
Coefficient of variation (CV)-6.749513255
Kurtosis1.755232935
Mean-0.1147576936
Median Absolute Deviation (MAD)0.4990557002
Skewness1.21578905
Sum-1.147576936
Variance0.5999409846
MonotonicityNot monotonic
2025-03-30T10:51:10.418245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.5362534949 1
10.0%
0.02846593921 1
10.0%
-0.181636933 1
10.0%
-0.2406624604 1
10.0%
1.609282524 1
10.0%
-0.8837104359 1
10.0%
0.2026641645 1
10.0%
-0.4932529165 1
10.0%
-0.7954472359 1
10.0%
-0.9295330772 1
10.0%
ValueCountFrequency (%)
-0.9295330772 1
10.0%
-0.8837104359 1
10.0%
-0.7954472359 1
10.0%
-0.4932529165 1
10.0%
-0.2406624604 1
10.0%
ValueCountFrequency (%)
1.609282524 1
10.0%
0.5362534949 1
10.0%
0.2026641645 1
10.0%
0.02846593921 1
10.0%
-0.181636933 1
10.0%

usind2CRSPMIV1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2635655766
Minimum-1.05175043
Maximum1.793949331
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:10.822370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.05175043
5-th percentile-0.9830303145
Q1-0.4229803684
median-0.03117895347
Q31.19229129
95-th percentile1.605110313
Maximum1.793949331
Range2.845699761
Interquartile range (IQR)1.615271658

Descriptive statistics

Standard deviation1.01386669
Coefficient of variation (CV)3.846734094
Kurtosis-1.54834566
Mean0.2635655766
Median Absolute Deviation (MAD)0.9442157926
Skewness0.2441389691
Sum2.635655766
Variance1.027925664
MonotonicityNot monotonic
2025-03-30T10:51:11.214793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.374307069 1
10.0%
-0.1618098038 1
10.0%
0.9994578551 1
10.0%
1.793949331 1
10.0%
0.09945189691 1
10.0%
-0.8990390621 1
10.0%
-0.3172595517 1
10.0%
-1.05175043 1
10.0%
-0.4582206406 1
10.0%
1.256569102 1
10.0%
ValueCountFrequency (%)
-1.05175043 1
10.0%
-0.8990390621 1
10.0%
-0.4582206406 1
10.0%
-0.3172595517 1
10.0%
-0.1618098038 1
10.0%
ValueCountFrequency (%)
1.793949331 1
10.0%
1.374307069 1
10.0%
1.256569102 1
10.0%
0.9994578551 1
10.0%
0.09945189691 1
10.0%

usind2CRSPMIG1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4320173961
Minimum-0.4842729622
Maximum1.588060842
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:51:11.598548image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.4842729622
5-th percentile-0.4118485351
Q1-0.00277903615
median0.1492142111
Q31.085397532
95-th percentile1.549200271
Maximum1.588060842
Range2.072333804
Interquartile range (IQR)1.088176569

Descriptive statistics

Standard deviation0.7589067384
Coefficient of variation (CV)1.756657823
Kurtosis-1.19141869
Mean0.4320173961
Median Absolute Deviation (MAD)0.3782600643
Skewness0.6421277508
Sum4.320173961
Variance0.5759394376
MonotonicityNot monotonic
2025-03-30T10:51:11.980467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.3233297908 1
10.0%
0.1944102083 1
10.0%
-0.007354653649 1
10.0%
1.588060842 1
10.0%
-0.4842729622 1
10.0%
0.4331903379 1
10.0%
1.501704019 1
10.0%
1.302799931 1
10.0%
0.01094781635 1
10.0%
0.104018214 1
10.0%
ValueCountFrequency (%)
-0.4842729622 1
10.0%
-0.3233297908 1
10.0%
-0.007354653649 1
10.0%
0.01094781635 1
10.0%
0.104018214 1
10.0%
ValueCountFrequency (%)
1.588060842 1
10.0%
1.501704019 1
10.0%
1.302799931 1
10.0%
0.4331903379 1
10.0%
0.1944102083 1
10.0%

usind2CRSPSCV1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09597130821
Minimum-2.855989243
Maximum1.167164017
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:51:12.393607image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.855989243
5-th percentile-2.60816988
Q1-0.4546881525
median0.5324957525
Q30.8248737128
95-th percentile1.046900549
Maximum1.167164017
Range4.02315326
Interquartile range (IQR)1.279561865

Descriptive statistics

Standard deviation1.408693274
Coefficient of variation (CV)-14.6782752
Kurtosis0.4927036196
Mean-0.09597130821
Median Absolute Deviation (MAD)0.4108958984
Skewness-1.337875851
Sum-0.9597130821
Variance1.984416739
MonotonicityNot monotonic
2025-03-30T10:51:12.826385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.7857412897 1
10.0%
-2.855989243 1
10.0%
0.442328311 1
10.0%
-2.305279548 1
10.0%
0.8379178538 1
10.0%
0.8999118664 1
10.0%
-0.6322908932 1
10.0%
1.167164017 1
10.0%
0.6226631939 1
10.0%
0.0781200696 1
10.0%
ValueCountFrequency (%)
-2.855989243 1
10.0%
-2.305279548 1
10.0%
-0.6322908932 1
10.0%
0.0781200696 1
10.0%
0.442328311 1
10.0%
ValueCountFrequency (%)
1.167164017 1
10.0%
0.8999118664 1
10.0%
0.8379178538 1
10.0%
0.7857412897 1
10.0%
0.6226631939 1
10.0%

usind2CRSPSCG1
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2226980892
Minimum-1.030215296
Maximum1.857316201
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:13.233687image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.030215296
5-th percentile-0.9699703789
Q1-0.6854328862
median0.2444668724
Q30.9465467566
95-th percentile1.514919463
Maximum1.857316201
Range2.887531497
Interquartile range (IQR)1.631979643

Descriptive statistics

Standard deviation0.9756211423
Coefficient of variation (CV)4.380913845
Kurtosis-1.092533747
Mean0.2226980892
Median Absolute Deviation (MAD)0.7977612453
Skewness0.1598089663
Sum2.226980892
Variance0.9518366133
MonotonicityNot monotonic
2025-03-30T10:51:13.625151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.030215296 1
10.0%
1.096434562 1
10.0%
0.9880216735 1
10.0%
-0.8963377024 1
10.0%
-0.8212186242 1
10.0%
0.8221220058 1
10.0%
1.857316201 1
10.0%
0.350747697 1
10.0%
0.1381860478 1
10.0%
-0.278075672 1
10.0%
ValueCountFrequency (%)
-1.030215296 1
10.0%
-0.8963377024 1
10.0%
-0.8212186242 1
10.0%
-0.278075672 1
10.0%
0.1381860478 1
10.0%
ValueCountFrequency (%)
1.857316201 1
10.0%
1.096434562 1
10.0%
0.9880216735 1
10.0%
0.8221220058 1
10.0%
0.350747697 1
10.0%

usind2CRSPMEVT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3325184915
Minimum-1.460585471
Maximum0.7990681225
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:51:14.035573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.460585471
5-th percentile-1.45442759
Q1-0.8983821866
median-0.3177761533
Q30.1908623031
95-th percentile0.7563214145
Maximum0.7990681225
Range2.259653593
Interquartile range (IQR)1.08924449

Descriptive statistics

Standard deviation0.8175467379
Coefficient of variation (CV)-2.458650447
Kurtosis-1.2688412
Mean-0.3325184915
Median Absolute Deviation (MAD)0.597478256
Skewness-0.07569259928
Sum-3.325184915
Variance0.6683826687
MonotonicityNot monotonic
2025-03-30T10:51:14.408843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.07669819743 1
10.0%
0.129607039 1
10.0%
-0.9836757876 1
10.0%
0.7040754379 1
10.0%
0.2112807244 1
10.0%
-0.6425013834 1
10.0%
-0.5588541093 1
10.0%
0.7990681225 1
10.0%
-1.460585471 1
10.0%
-1.446901291 1
10.0%
ValueCountFrequency (%)
-1.460585471 1
10.0%
-1.446901291 1
10.0%
-0.9836757876 1
10.0%
-0.6425013834 1
10.0%
-0.5588541093 1
10.0%
ValueCountFrequency (%)
0.7990681225 1
10.0%
0.7040754379 1
10.0%
0.2112807244 1
10.0%
0.129607039 1
10.0%
-0.07669819743 1
10.0%

usind2CRSPMEGT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09525835878
Minimum-1.310618181
Maximum1.606427098
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:14.782966image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.310618181
5-th percentile-1.171972321
Q1-0.8933659467
median0.3625719848
Q30.921343776
95-th percentile1.346963315
Maximum1.606427098
Range2.917045278
Interquartile range (IQR)1.814709723

Descriptive statistics

Standard deviation1.031640534
Coefficient of variation (CV)10.82992135
Kurtosis-1.643538935
Mean0.09525835878
Median Absolute Deviation (MAD)0.9452482525
Skewness-0.08878323292
Sum0.9525835878
Variance1.064282191
MonotonicityNot monotonic
2025-03-30T10:51:15.156040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.310618181 1
10.0%
0.6611590205 1
10.0%
-0.9042693981 1
10.0%
1.029840913 1
10.0%
0.2387707153 1
10.0%
-1.00251627 1
10.0%
1.008072028 1
10.0%
-0.8606555925 1
10.0%
0.4863732543 1
10.0%
1.606427098 1
10.0%
ValueCountFrequency (%)
-1.310618181 1
10.0%
-1.00251627 1
10.0%
-0.9042693981 1
10.0%
-0.8606555925 1
10.0%
0.2387707153 1
10.0%
ValueCountFrequency (%)
1.606427098 1
10.0%
1.029840913 1
10.0%
1.008072028 1
10.0%
0.6611590205 1
10.0%
0.4863732543 1
10.0%

usind2CRSPLCVT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09458456632
Minimum-2.144487504
Maximum1.829060812
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:51:15.575423image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.144487504
5-th percentile-1.801217659
Q1-0.5646404082
median-0.1324590023
Q30.4314933264
95-th percentile1.547040326
Maximum1.829060812
Range3.973548316
Interquartile range (IQR)0.9961337346

Descriptive statistics

Standard deviation1.160798315
Coefficient of variation (CV)-12.27259753
Kurtosis0.1260432587
Mean-0.09458456632
Median Absolute Deviation (MAD)0.5446203404
Skewness-0.1203180461
Sum-0.9458456632
Variance1.347452729
MonotonicityNot monotonic
2025-03-30T10:51:15.979495image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6240274983 1
10.0%
0.3734973617 1
10.0%
-0.1101679258 1
10.0%
1.829060812 1
10.0%
0.4508253146 1
10.0%
-0.1547500787 1
10.0%
1.20234862 1
10.0%
-0.3864791379 1
10.0%
-1.381665627 1
10.0%
-2.144487504 1
10.0%
ValueCountFrequency (%)
-2.144487504 1
10.0%
-1.381665627 1
10.0%
-0.6240274983 1
10.0%
-0.3864791379 1
10.0%
-0.1547500787 1
10.0%
ValueCountFrequency (%)
1.829060812 1
10.0%
1.20234862 1
10.0%
0.4508253146 1
10.0%
0.3734973617 1
10.0%
-0.1101679258 1
10.0%

usind2CRSPLCGT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2332024382
Minimum-1.451883676
Maximum1.528328755
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:51:16.357529image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.451883676
5-th percentile-1.200805167
Q1-0.01139927891
median0.3009075007
Q30.840411953
95-th percentile1.27604878
Maximum1.528328755
Range2.980212431
Interquartile range (IQR)0.8518112319

Descriptive statistics

Standard deviation0.8868403167
Coefficient of variation (CV)3.802877549
Kurtosis0.2540901877
Mean0.2332024382
Median Absolute Deviation (MAD)0.484080113
Skewness-0.656232216
Sum2.332024382
Variance0.7864857473
MonotonicityNot monotonic
2025-03-30T10:51:16.723414image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.451883676 1
10.0%
0.8958362924 1
10.0%
0.674138935 1
10.0%
0.03781943583 1
10.0%
0.3369698502 1
10.0%
0.9677065887 1
10.0%
1.528328755 1
10.0%
-0.02780551715 1
10.0%
-0.8939314336 1
10.0%
0.2648451512 1
10.0%
ValueCountFrequency (%)
-1.451883676 1
10.0%
-0.8939314336 1
10.0%
-0.02780551715 1
10.0%
0.03781943583 1
10.0%
0.2648451512 1
10.0%
ValueCountFrequency (%)
1.528328755 1
10.0%
0.9677065887 1
10.0%
0.8958362924 1
10.0%
0.674138935 1
10.0%
0.3369698502 1
10.0%

usind2CRSPMIVT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2765016066
Minimum-2.46852468
Maximum0.9512921636
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:51:17.098935image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.46852468
5-th percentile-1.836583143
Q1-0.7307591661
median-0.3279003352
Q30.5511964092
95-th percentile0.9181803176
Maximum0.9512921636
Range3.419816844
Interquartile range (IQR)1.281955575

Descriptive statistics

Standard deviation1.043488453
Coefficient of variation (CV)-3.773896525
Kurtosis0.8904496903
Mean-0.2765016066
Median Absolute Deviation (MAD)0.6683822837
Skewness-0.8377031175
Sum-2.765016066
Variance1.088868151
MonotonicityNot monotonic
2025-03-30T10:51:17.518648image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.6440770745 1
10.0%
-1.064210154 1
10.0%
-0.1765124331 1
10.0%
-0.4792882372 1
10.0%
-0.8004610835 1
10.0%
0.2725544135 1
10.0%
-2.46852468 1
10.0%
0.9512921636 1
10.0%
0.8777102835 1
10.0%
-0.5216534137 1
10.0%
ValueCountFrequency (%)
-2.46852468 1
10.0%
-1.064210154 1
10.0%
-0.8004610835 1
10.0%
-0.5216534137 1
10.0%
-0.4792882372 1
10.0%
ValueCountFrequency (%)
0.9512921636 1
10.0%
0.8777102835 1
10.0%
0.6440770745 1
10.0%
0.2725544135 1
10.0%
-0.1765124331 1
10.0%

usind2CRSPMIGT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5144870841
Minimum-1.197987606
Maximum2.684656339
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:17.917418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.197987606
5-th percentile-0.9510906599
Q1-0.5525976964
median0.6082976205
Q31.26189602
95-th percentile2.279926576
Maximum2.684656339
Range3.882643945
Interquartile range (IQR)1.814493716

Descriptive statistics

Standard deviation1.232012685
Coefficient of variation (CV)2.394642593
Kurtosis-0.7343906505
Mean0.5144870841
Median Absolute Deviation (MAD)1.092467147
Skewness0.3138520033
Sum5.144870841
Variance1.517855257
MonotonicityNot monotonic
2025-03-30T10:51:18.332523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6493277257 1
10.0%
-0.3996774282 1
10.0%
0.7393460382 1
10.0%
1.369328902 1
10.0%
-1.197987606 1
10.0%
2.684656339 1
10.0%
0.9395973719 1
10.0%
1.785256866 1
10.0%
-0.6035711191 1
10.0%
0.4772492027 1
10.0%
ValueCountFrequency (%)
-1.197987606 1
10.0%
-0.6493277257 1
10.0%
-0.6035711191 1
10.0%
-0.3996774282 1
10.0%
0.4772492027 1
10.0%
ValueCountFrequency (%)
2.684656339 1
10.0%
1.785256866 1
10.0%
1.369328902 1
10.0%
0.9395973719 1
10.0%
0.7393460382 1
10.0%

usind2CRSPSCVT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1484125961
Minimum-2.05919951
Maximum1.906130736
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:18.740857image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.05919951
5-th percentile-1.657194376
Q1-0.364352516
median0.1981848746
Q30.938533239
95-th percentile1.656214397
Maximum1.906130736
Range3.965330246
Interquartile range (IQR)1.302885755

Descriptive statistics

Standard deviation1.183625781
Coefficient of variation (CV)7.975238032
Kurtosis0.02167002432
Mean0.1484125961
Median Absolute Deviation (MAD)0.7484179945
Skewness-0.4396662254
Sum1.484125961
Variance1.400969989
MonotonicityNot monotonic
2025-03-30T10:51:19.188618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.4382169364 1
10.0%
-0.1427592548 1
10.0%
1.906130736 1
10.0%
-1.165854768 1
10.0%
0.5782757982 1
10.0%
1.350761093 1
10.0%
0.3111827411 1
10.0%
-2.05919951 1
10.0%
0.08518700811 1
10.0%
1.058619053 1
10.0%
ValueCountFrequency (%)
-2.05919951 1
10.0%
-1.165854768 1
10.0%
-0.4382169364 1
10.0%
-0.1427592548 1
10.0%
0.08518700811 1
10.0%
ValueCountFrequency (%)
1.906130736 1
10.0%
1.350761093 1
10.0%
1.058619053 1
10.0%
0.5782757982 1
10.0%
0.3111827411 1
10.0%

usind2CRSPSCGT
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1297103487
Minimum-1.927169123
Maximum1.024611314
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:19.614688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.927169123
5-th percentile-1.635816246
Q1-0.5507036901
median0.0492956006
Q30.4486053217
95-th percentile0.9749872417
Maximum1.024611314
Range2.951780437
Interquartile range (IQR)0.9993090117

Descriptive statistics

Standard deviation0.9371638754
Coefficient of variation (CV)-7.225050932
Kurtosis0.02482317193
Mean-0.1297103487
Median Absolute Deviation (MAD)0.5827664234
Skewness-0.7516024789
Sum-1.297103487
Variance0.8782761293
MonotonicityNot monotonic
2025-03-30T10:51:20.514800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.039864474 1
10.0%
-1.927169123 1
10.0%
-1.279718285 1
10.0%
0.1384556752 1
10.0%
1.024611314 1
10.0%
-0.2440360285 1
10.0%
0.5126066029 1
10.0%
0.9143355976 1
10.0%
-0.6529262439 1
10.0%
0.2566014781 1
10.0%
ValueCountFrequency (%)
-1.927169123 1
10.0%
-1.279718285 1
10.0%
-0.6529262439 1
10.0%
-0.2440360285 1
10.0%
-0.039864474 1
10.0%
ValueCountFrequency (%)
1.024611314 1
10.0%
0.9143355976 1
10.0%
0.5126066029 1
10.0%
0.2566014781 1
10.0%
0.1384556752 1
10.0%

stockvwretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5669424264
Minimum-1.972721528
Maximum1.250645343
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:51:20.942292image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.972721528
5-th percentile-1.852113023
Q1-1.409271042
median-0.8911607993
Q30.2118471408
95-th percentile1.132467952
Maximum1.250645343
Range3.223366872
Interquartile range (IQR)1.621118182

Descriptive statistics

Standard deviation1.131414266
Coefficient of variation (CV)-1.995642261
Kurtosis-1.160849534
Mean-0.5669424264
Median Absolute Deviation (MAD)0.8403552611
Skewness0.4967511882
Sum-5.669424264
Variance1.28009824
MonotonicityNot monotonic
2025-03-30T10:51:21.335983image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.250645343 1
10.0%
0.2904602226 1
10.0%
-0.7983038824 1
10.0%
-1.25368925 1
10.0%
-0.9840177163 1
10.0%
-1.704702627 1
10.0%
-1.972721528 1
10.0%
-0.02399210488 1
10.0%
0.9880289179 1
10.0%
-1.461131639 1
10.0%
ValueCountFrequency (%)
-1.972721528 1
10.0%
-1.704702627 1
10.0%
-1.461131639 1
10.0%
-1.25368925 1
10.0%
-0.9840177163 1
10.0%
ValueCountFrequency (%)
1.250645343 1
10.0%
0.9880289179 1
10.0%
0.2904602226 1
10.0%
-0.02399210488 1
10.0%
-0.7983038824 1
10.0%

stockvwretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7552255675
Minimum-1.290486033
Maximum2.586057917
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:51:21.700549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.290486033
5-th percentile-1.135388957
Q1-0.008600468107
median0.6064143294
Q31.76151321
95-th percentile2.442959454
Maximum2.586057917
Range3.87654395
Interquartile range (IQR)1.770113678

Descriptive statistics

Standard deviation1.314631075
Coefficient of variation (CV)1.740713148
Kurtosis-1.060367737
Mean0.7552255675
Median Absolute Deviation (MAD)1.107051333
Skewness-0.1762317023
Sum7.552255675
Variance1.728254863
MonotonicityNot monotonic
2025-03-30T10:51:22.101804image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.6408164118 1
10.0%
-1.290486033 1
10.0%
0.4592334443 1
10.0%
1.617370568 1
10.0%
0.5720122469 1
10.0%
2.586057917 1
10.0%
1.809560757 1
10.0%
-0.1645451056 1
10.0%
2.268061332 1
10.0%
-0.9458258641 1
10.0%
ValueCountFrequency (%)
-1.290486033 1
10.0%
-0.9458258641 1
10.0%
-0.1645451056 1
10.0%
0.4592334443 1
10.0%
0.5720122469 1
10.0%
ValueCountFrequency (%)
2.586057917 1
10.0%
2.268061332 1
10.0%
1.809560757 1
10.0%
1.617370568 1
10.0%
0.6408164118 1
10.0%

stockvwTotVal
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2004829536
Minimum-2.172576981
Maximum0.9241967744
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:22.523422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.172576981
5-th percentile-1.609796967
Q1-0.5463136676
median0.0389173251
Q30.3888365757
95-th percentile0.7498678618
Maximum0.9241967744
Range3.096773756
Interquartile range (IQR)0.9351502433

Descriptive statistics

Standard deviation0.8913082711
Coefficient of variation (CV)-4.445805766
Kurtosis1.727127116
Mean-0.2004829536
Median Absolute Deviation (MAD)0.5299252344
Skewness-1.161356181
Sum-2.004829536
Variance0.7944304341
MonotonicityNot monotonic
2025-03-30T10:51:22.908810image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.5367991907 1
10.0%
-0.5540677974 1
10.0%
0.9241967744 1
10.0%
-0.523051278 1
10.0%
-2.172576981 1
10.0%
-0.04422422938 1
10.0%
-0.9219547275 1
10.0%
0.1643127978 1
10.0%
0.1220588796 1
10.0%
0.463677835 1
10.0%
ValueCountFrequency (%)
-2.172576981 1
10.0%
-0.9219547275 1
10.0%
-0.5540677974 1
10.0%
-0.523051278 1
10.0%
-0.04422422938 1
10.0%
ValueCountFrequency (%)
0.9241967744 1
10.0%
0.5367991907 1
10.0%
0.463677835 1
10.0%
0.1643127978 1
10.0%
0.1220588796 1
10.0%

stockvwUsdVal
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0216076729
Minimum-2.198560739
Maximum2.117923601
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:51:23.302790image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.198560739
5-th percentile-1.620773268
Q1-0.5662410556
median-0.3587500715
Q30.7176825902
95-th percentile1.727852684
Maximum2.117923601
Range4.31648434
Interquartile range (IQR)1.283923646

Descriptive statistics

Standard deviation1.221461384
Coefficient of variation (CV)-56.52905751
Kurtosis0.3041093731
Mean-0.0216076729
Median Absolute Deviation (MAD)0.7148129999
Skewness0.08754489846
Sum-0.216076729
Variance1.491967912
MonotonicityNot monotonic
2025-03-30T10:51:23.661531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.4024771947 1
10.0%
0.7852309804 1
10.0%
-0.9145885804 1
10.0%
-2.198560739 1
10.0%
-0.3150229483 1
10.0%
-0.4495958024 1
10.0%
-0.6051228066 1
10.0%
0.5150374194 1
10.0%
1.251099342 1
10.0%
2.117923601 1
10.0%
ValueCountFrequency (%)
-2.198560739 1
10.0%
-0.9145885804 1
10.0%
-0.6051228066 1
10.0%
-0.4495958024 1
10.0%
-0.4024771947 1
10.0%
ValueCountFrequency (%)
2.117923601 1
10.0%
1.251099342 1
10.0%
0.7852309804 1
10.0%
0.5150374194 1
10.0%
-0.3150229483 1
10.0%

stockvwTotCnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03431956389
Minimum-1.874890597
Maximum1.391423354
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:24.032202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.874890597
5-th percentile-1.803921947
Q1-0.5855438084
median0.1872091207
Q30.8924875521
95-th percentile1.225977649
Maximum1.391423354
Range3.266313951
Interquartile range (IQR)1.47803136

Descriptive statistics

Standard deviation1.134378008
Coefficient of variation (CV)-33.05339226
Kurtosis-0.8686680035
Mean-0.03431956389
Median Absolute Deviation (MAD)0.7885061756
Skewness-0.5556227891
Sum-0.3431956389
Variance1.286813464
MonotonicityNot monotonic
2025-03-30T10:51:24.470592image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.023766233 1
10.0%
1.391423354 1
10.0%
0.01793035258 1
10.0%
-1.874890597 1
10.0%
-1.717182486 1
10.0%
0.6280526631 1
10.0%
-0.5530357255 1
10.0%
0.9806325151 1
10.0%
0.3564878888 1
10.0%
-0.596379836 1
10.0%
ValueCountFrequency (%)
-1.874890597 1
10.0%
-1.717182486 1
10.0%
-0.596379836 1
10.0%
-0.5530357255 1
10.0%
0.01793035258 1
10.0%
ValueCountFrequency (%)
1.391423354 1
10.0%
1.023766233 1
10.0%
0.9806325151 1
10.0%
0.6280526631 1
10.0%
0.3564878888 1
10.0%

stockvwUsdCnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01344801044
Minimum-1.56265695
Maximum2.250775104
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:24.845448image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.56265695
5-th percentile-1.485103871
Q1-0.3379914269
median0.03416556365
Q30.2401744941
95-th percentile1.514315656
Maximum2.250775104
Range3.813432054
Interquartile range (IQR)0.5781659209

Descriptive statistics

Standard deviation1.05917226
Coefficient of variation (CV)-78.76051734
Kurtosis1.873475593
Mean-0.01344801044
Median Absolute Deviation (MAD)0.3430272709
Skewness0.6417084096
Sum-0.1344801044
Variance1.121845876
MonotonicityNot monotonic
2025-03-30T10:51:25.227219image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.4121414128 1
10.0%
0.273913129 1
10.0%
-1.390316774 1
10.0%
0.6141985514 1
10.0%
0.1389585893 1
10.0%
2.250775104 1
10.0%
-0.115541469 1
10.0%
0.0194579121 1
10.0%
-1.56265695 1
10.0%
0.04887321519 1
10.0%
ValueCountFrequency (%)
-1.56265695 1
10.0%
-1.390316774 1
10.0%
-0.4121414128 1
10.0%
-0.115541469 1
10.0%
0.0194579121 1
10.0%
ValueCountFrequency (%)
2.250775104 1
10.0%
0.6141985514 1
10.0%
0.273913129 1
10.0%
0.1389585893 1
10.0%
0.04887321519 1
10.0%

stockewretd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3043388529
Minimum-0.9607292638
Maximum1.606573858
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:25.623839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9607292638
5-th percentile-0.5884222455
Q1-0.0794512166
median0.2454138388
Q30.6233978865
95-th percentile1.323847908
Maximum1.606573858
Range2.567303122
Interquartile range (IQR)0.7028491031

Descriptive statistics

Standard deviation0.7061768586
Coefficient of variation (CV)2.320363804
Kurtosis0.7000558972
Mean0.3043388529
Median Absolute Deviation (MAD)0.3586175447
Skewness0.1349195771
Sum3.043388529
Variance0.4986857556
MonotonicityNot monotonic
2025-03-30T10:51:26.020738image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.5435342275 1
10.0%
-0.09302707779 1
10.0%
0.03696752055 1
10.0%
0.978293969 1
10.0%
1.606573858 1
10.0%
-0.03872363303 1
10.0%
0.453860157 1
10.0%
0.6500191061 1
10.0%
-0.9607292638 1
10.0%
-0.1333803342 1
10.0%
ValueCountFrequency (%)
-0.9607292638 1
10.0%
-0.1333803342 1
10.0%
-0.09302707779 1
10.0%
-0.03872363303 1
10.0%
0.03696752055 1
10.0%
ValueCountFrequency (%)
1.606573858 1
10.0%
0.978293969 1
10.0%
0.6500191061 1
10.0%
0.5435342275 1
10.0%
0.453860157 1
10.0%

stockewretx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6562401375
Minimum-2.216821504
Maximum1.354601054
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:51:26.369040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.216821504
5-th percentile-1.850559819
Q1-1.322294414
median-0.5439550652
Q3-0.341592949
95-th percentile0.8055956191
Maximum1.354601054
Range3.571422558
Interquartile range (IQR)0.9807014647

Descriptive statistics

Standard deviation0.9799220355
Coefficient of variation (CV)-1.493236971
Kurtosis1.184874935
Mean-0.6562401375
Median Absolute Deviation (MAD)0.6661960829
Skewness0.5832479915
Sum-6.562401375
Variance0.9602471957
MonotonicityNot monotonic
2025-03-30T10:51:26.764900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.1345889759 1
10.0%
-1.40290665 1
10.0%
-1.19780319 1
10.0%
-0.5672617147 1
10.0%
-0.5206484157 1
10.0%
1.354601054 1
10.0%
-2.216821504 1
10.0%
-0.4903517675 1
10.0%
-0.2920066762 1
10.0%
-1.363791488 1
10.0%
ValueCountFrequency (%)
-2.216821504 1
10.0%
-1.40290665 1
10.0%
-1.363791488 1
10.0%
-1.19780319 1
10.0%
-0.5672617147 1
10.0%
ValueCountFrequency (%)
1.354601054 1
10.0%
0.1345889759 1
10.0%
-0.2920066762 1
10.0%
-0.4903517675 1
10.0%
-0.5206484157 1
10.0%

stockewTotVal
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5491821919
Minimum-1.126881646
Maximum-0.02913104848
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)100.0%
Memory size160.0 B
2025-03-30T10:51:27.177514image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.126881646
5-th percentile-1.023333257
Q1-0.8319338326
median-0.5766277257
Q3-0.2460256051
95-th percentile-0.06726842169
Maximum-0.02913104848
Range1.097750598
Interquartile range (IQR)0.5859082276

Descriptive statistics

Standard deviation0.3679122418
Coefficient of variation (CV)-0.6699274799
Kurtosis-1.188278907
Mean-0.5491821919
Median Absolute Deviation (MAD)0.3112128551
Skewness-0.01108488036
Sum-5.491821919
Variance0.1353594177
MonotonicityNot monotonic
2025-03-30T10:51:27.558645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.8789070477 1
10.0%
-0.4625475254 1
10.0%
-0.6907079259 1
10.0%
-0.6910141873 1
10.0%
-0.1910623815 1
10.0%
-0.02913104848 1
10.0%
-0.4109152758 1
10.0%
-0.1138807667 1
10.0%
-0.8967741138 1
10.0%
-1.126881646 1
10.0%
ValueCountFrequency (%)
-1.126881646 1
10.0%
-0.8967741138 1
10.0%
-0.8789070477 1
10.0%
-0.6910141873 1
10.0%
-0.6907079259 1
10.0%
ValueCountFrequency (%)
-0.02913104848 1
10.0%
-0.1138807667 1
10.0%
-0.1910623815 1
10.0%
-0.4109152758 1
10.0%
-0.4625475254 1
10.0%

stockewUsdVal
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1499647839
Minimum-1.85304033
Maximum2.665287828
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:51:27.939071image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.85304033
5-th percentile-1.814248095
Q1-0.6832423964
median-0.3574181269
Q30.4681535123
95-th percentile1.820461516
Maximum2.665287828
Range4.518328157
Interquartile range (IQR)1.151395909

Descriptive statistics

Standard deviation1.31378771
Coefficient of variation (CV)-8.760641504
Kurtosis1.469041376
Mean-0.1499647839
Median Absolute Deviation (MAD)0.7033822545
Skewness0.8640366158
Sum-1.499647839
Variance1.726038147
MonotonicityNot monotonic
2025-03-30T10:51:28.303246image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.7878960242 1
10.0%
-0.3427584931 1
10.0%
-1.85304033 1
10.0%
2.665287828 1
10.0%
-1.766835365 1
10.0%
-0.7114607939 1
10.0%
-0.5985872041 1
10.0%
-0.3720777607 1
10.0%
0.1015853582 1
10.0%
0.590342897 1
10.0%
ValueCountFrequency (%)
-1.85304033 1
10.0%
-1.766835365 1
10.0%
-0.7114607939 1
10.0%
-0.5985872041 1
10.0%
-0.3720777607 1
10.0%
ValueCountFrequency (%)
2.665287828 1
10.0%
0.7878960242 1
10.0%
0.590342897 1
10.0%
0.1015853582 1
10.0%
-0.3427584931 1
10.0%

stockewTotCnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2271767121
Minimum-1.692732841
Maximum1.316267551
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:28.635849image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.692732841
5-th percentile-1.295727046
Q1-0.1317923192
median0.4538583535
Q30.8000349694
95-th percentile1.283367089
Maximum1.316267551
Range3.009000393
Interquartile range (IQR)0.9318272886

Descriptive statistics

Standard deviation0.9466555918
Coefficient of variation (CV)4.167045042
Kurtosis0.4145473208
Mean0.2271767121
Median Absolute Deviation (MAD)0.5762979784
Skewness-0.8988826215
Sum2.271767121
Variance0.8961568094
MonotonicityNot monotonic
2025-03-30T10:51:28.984275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.810497742 1
10.0%
-1.692732841 1
10.0%
1.243155412 1
10.0%
-0.1411450135 1
10.0%
-0.1037342362 1
10.0%
0.8237012974 1
10.0%
1.316267551 1
10.0%
0.7290359856 1
10.0%
0.2002618715 1
10.0%
0.7074548356 1
10.0%
ValueCountFrequency (%)
-1.692732841 1
10.0%
-0.810497742 1
10.0%
-0.1411450135 1
10.0%
-0.1037342362 1
10.0%
0.2002618715 1
10.0%
ValueCountFrequency (%)
1.316267551 1
10.0%
1.243155412 1
10.0%
0.8237012974 1
10.0%
0.7290359856 1
10.0%
0.7074548356 1
10.0%

stockewUsdCnt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2123174546
Minimum-1.457176531
Maximum1.135506526
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:29.348312image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.457176531
5-th percentile-0.9829980577
Q1-0.2162481096
median0.3880227247
Q30.7438673948
95-th percentile1.070010106
Maximum1.135506526
Range2.592683057
Interquartile range (IQR)0.9601155044

Descriptive statistics

Standard deviation0.7810894136
Coefficient of variation (CV)3.678875178
Kurtosis1.055691311
Mean0.2123174546
Median Absolute Deviation (MAD)0.5259609665
Skewness-1.017662931
Sum2.123174546
Variance0.6101006721
MonotonicityNot monotonic
2025-03-30T10:51:29.745266image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.135506526 1
10.0%
0.3626100606 1
10.0%
0.4134353887 1
10.0%
-0.4034465907 1
10.0%
0.9899589257 1
10.0%
-0.06196300724 1
10.0%
-0.267676477 1
10.0%
0.6301545865 1
10.0%
-1.457176531 1
10.0%
0.7817716643 1
10.0%
ValueCountFrequency (%)
-1.457176531 1
10.0%
-0.4034465907 1
10.0%
-0.267676477 1
10.0%
-0.06196300724 1
10.0%
0.3626100606 1
10.0%
ValueCountFrequency (%)
1.135506526 1
10.0%
0.9899589257 1
10.0%
0.7817716643 1
10.0%
0.6301545865 1
10.0%
0.4134353887 1
10.0%

stocksprtrn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.218755947
Minimum-1.476933934
Maximum1.303088273
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:51:30.097800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.476933934
5-th percentile-1.309604057
Q1-0.7041624505
median-0.1847050415
Q30.06106581077
95-th percentile0.9381783817
Maximum1.303088273
Range2.780022207
Interquartile range (IQR)0.7652282612

Descriptive statistics

Standard deviation0.7980788204
Coefficient of variation (CV)-3.648261139
Kurtosis0.4499809611
Mean-0.218755947
Median Absolute Deviation (MAD)0.454190856
Skewness0.2724156919
Sum-2.18755947
Variance0.6369298036
MonotonicityNot monotonic
2025-03-30T10:51:30.457454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0689420581 1
10.0%
0.4921774034 1
10.0%
-0.2983308402 1
10.0%
-0.1809410463 1
10.0%
0.03743706879 1
10.0%
-0.8394396539 1
10.0%
1.303088273 1
10.0%
-0.1884690368 1
10.0%
-1.476933934 1
10.0%
-1.105089762 1
10.0%
ValueCountFrequency (%)
-1.476933934 1
10.0%
-1.105089762 1
10.0%
-0.8394396539 1
10.0%
-0.2983308402 1
10.0%
-0.1884690368 1
10.0%
ValueCountFrequency (%)
1.303088273 1
10.0%
0.4921774034 1
10.0%
0.0689420581 1
10.0%
0.03743706879 1
10.0%
-0.1809410463 1
10.0%

ustreb30ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2391195482
Minimum-1.294048054
Maximum1.082667451
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:51:30.837497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.294048054
5-th percentile-0.9477048686
Q1-0.2333564271
median0.3994302422
Q30.82671285
95-th percentile1.067296706
Maximum1.082667451
Range2.376715506
Interquartile range (IQR)1.060069277

Descriptive statistics

Standard deviation0.7692199123
Coefficient of variation (CV)3.216884266
Kurtosis0.08948379928
Mean0.2391195482
Median Absolute Deviation (MAD)0.5575174449
Skewness-0.8369868089
Sum2.391195482
Variance0.5916992735
MonotonicityNot monotonic
2025-03-30T10:51:31.216886image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.5243965305 1
10.0%
1.04851024 1
10.0%
1.082667451 1
10.0%
0.4218157108 1
10.0%
-1.294048054 1
10.0%
0.7106959978 1
10.0%
0.8653851341 1
10.0%
0.0219939928 1
10.0%
-0.3184732337 1
10.0%
0.3770447735 1
10.0%
ValueCountFrequency (%)
-1.294048054 1
10.0%
-0.5243965305 1
10.0%
-0.3184732337 1
10.0%
0.0219939928 1
10.0%
0.3770447735 1
10.0%
ValueCountFrequency (%)
1.082667451 1
10.0%
1.04851024 1
10.0%
0.8653851341 1
10.0%
0.7106959978 1
10.0%
0.4218157108 1
10.0%

ustreb30ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3937734041
Minimum-1.35570596
Maximum1.626714366
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:31.564959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.35570596
5-th percentile-0.9654278793
Q1-0.2516160132
median0.3689087851
Q31.177989379
95-th percentile1.559392889
Maximum1.626714366
Range2.982420326
Interquartile range (IQR)1.429605392

Descriptive statistics

Standard deviation0.9710723758
Coefficient of variation (CV)2.466068977
Kurtosis-0.7466683558
Mean0.3937734041
Median Absolute Deviation (MAD)0.7751200366
Skewness-0.3773112095
Sum3.937734041
Variance0.942981559
MonotonicityNot monotonic
2025-03-30T10:51:31.918979image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.626714366 1
10.0%
0.1188583632 1
10.0%
1.076107708 1
10.0%
1.477111083 1
10.0%
0.618959207 1
10.0%
-0.488421336 1
10.0%
-1.35570596 1
10.0%
-0.3293123637 1
10.0%
1.211949935 1
10.0%
-0.0185269617 1
10.0%
ValueCountFrequency (%)
-1.35570596 1
10.0%
-0.488421336 1
10.0%
-0.3293123637 1
10.0%
-0.0185269617 1
10.0%
0.1188583632 1
10.0%
ValueCountFrequency (%)
1.626714366 1
10.0%
1.477111083 1
10.0%
1.211949935 1
10.0%
1.076107708 1
10.0%
0.618959207 1
10.0%

ustreb20ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4015457557
Minimum-1.198526074
Maximum2.009491592
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:32.293983image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.198526074
5-th percentile-0.8262199356
Q1-0.3022532938
median0.2792174803
Q31.119246894
95-th percentile1.859399916
Maximum2.009491592
Range3.208017665
Interquartile range (IQR)1.421500188

Descriptive statistics

Standard deviation1.010246479
Coefficient of variation (CV)2.515893804
Kurtosis-0.7119067347
Mean0.4015457557
Median Absolute Deviation (MAD)0.6312616953
Skewness0.2355409188
Sum4.015457557
Variance1.020597948
MonotonicityNot monotonic
2025-03-30T10:51:32.673987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.4195693433 1
10.0%
1.675954535 1
10.0%
-0.3711791 1
10.0%
-0.33290933 1
10.0%
-0.2102851851 1
10.0%
-1.198526074 1
10.0%
2.009491592 1
10.0%
0.5882204499 1
10.0%
1.296255709 1
10.0%
0.1388656172 1
10.0%
ValueCountFrequency (%)
-1.198526074 1
10.0%
-0.3711791 1
10.0%
-0.33290933 1
10.0%
-0.2102851851 1
10.0%
0.1388656172 1
10.0%
ValueCountFrequency (%)
2.009491592 1
10.0%
1.675954535 1
10.0%
1.296255709 1
10.0%
0.5882204499 1
10.0%
0.4195693433 1
10.0%

ustreb20ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3882086526
Minimum-1.029879859
Maximum1.489577459
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:33.053087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.029879859
5-th percentile-0.7673717346
Q1-0.2803911326
median0.4230810567
Q31.081158757
95-th percentile1.480984515
Maximum1.489577459
Range2.519457317
Interquartile range (IQR)1.361549889

Descriptive statistics

Standard deviation0.8596296956
Coefficient of variation (CV)2.214349654
Kurtosis-1.09405556
Mean0.3882086526
Median Absolute Deviation (MAD)0.7574954332
Skewness-0.1695551146
Sum3.882086526
Variance0.7389632135
MonotonicityNot monotonic
2025-03-30T10:51:33.456118image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.170194743 1
10.0%
0.8140507973 1
10.0%
1.470482028 1
10.0%
-0.344796123 1
10.0%
1.489577459 1
10.0%
-0.4465284721 1
10.0%
0.4202303308 1
10.0%
-1.029879859 1
10.0%
-0.08717616143 1
10.0%
0.4259317826 1
10.0%
ValueCountFrequency (%)
-1.029879859 1
10.0%
-0.4465284721 1
10.0%
-0.344796123 1
10.0%
-0.08717616143 1
10.0%
0.4202303308 1
10.0%
ValueCountFrequency (%)
1.489577459 1
10.0%
1.470482028 1
10.0%
1.170194743 1
10.0%
0.8140507973 1
10.0%
0.4259317826 1
10.0%

ustreb10ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1918686767
Minimum-1.282400264
Maximum1.166253113
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:33.832661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.282400264
5-th percentile-1.277245854
Q1-0.6788596112
median-0.1488723234
Q30.3192310611
95-th percentile0.8774246491
Maximum1.166253113
Range2.448653377
Interquartile range (IQR)0.9980906723

Descriptive statistics

Standard deviation0.8020315363
Coefficient of variation (CV)-4.180106675
Kurtosis-0.8207516245
Mean-0.1918686767
Median Absolute Deviation (MAD)0.5380692991
Skewness0.09911748931
Sum-1.918686767
Variance0.6432545852
MonotonicityNot monotonic
2025-03-30T10:51:34.245008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.1689222801 1
10.0%
0.5244120819 1
10.0%
-1.270946019 1
10.0%
-0.7081325911 1
10.0%
0.172906223 1
10.0%
-0.466666927 1
10.0%
-0.5910406713 1
10.0%
-1.282400264 1
10.0%
0.3680060072 1
10.0%
1.166253113 1
10.0%
ValueCountFrequency (%)
-1.282400264 1
10.0%
-1.270946019 1
10.0%
-0.7081325911 1
10.0%
-0.5910406713 1
10.0%
-0.466666927 1
10.0%
ValueCountFrequency (%)
1.166253113 1
10.0%
0.5244120819 1
10.0%
0.3680060072 1
10.0%
0.172906223 1
10.0%
0.1689222801 1
10.0%

ustreb10ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9118580834
Minimum-2.149396994
Maximum0.8108187237
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:51:34.647980image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.149396994
5-th percentile-2.13632078
Q1-1.816420297
median-0.9485295716
Q3-0.1804122274
95-th percentile0.4630700126
Maximum0.8108187237
Range2.960215717
Interquartile range (IQR)1.636008069

Descriptive statistics

Standard deviation1.005088561
Coefficient of variation (CV)-1.10224231
Kurtosis-0.9220080456
Mean-0.9118580834
Median Absolute Deviation (MAD)0.9174767815
Skewness0.2247707314
Sum-9.118580834
Variance1.010203014
MonotonicityNot monotonic
2025-03-30T10:51:35.061985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.993191413 1
10.0%
-1.286106948 1
10.0%
-1.044239747 1
10.0%
0.8108187237 1
10.0%
0.03804381019 1
10.0%
-0.8528193961 1
10.0%
-2.149396994 1
10.0%
-0.1001493904 1
10.0%
-0.4212007382 1
10.0%
-2.120338741 1
10.0%
ValueCountFrequency (%)
-2.149396994 1
10.0%
-2.120338741 1
10.0%
-1.993191413 1
10.0%
-1.286106948 1
10.0%
-1.044239747 1
10.0%
ValueCountFrequency (%)
0.8108187237 1
10.0%
0.03804381019 1
10.0%
-0.1001493904 1
10.0%
-0.4212007382 1
10.0%
-0.8528193961 1
10.0%

ustreb7ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4000714059
Minimum-1.913309371
Maximum1.179747606
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:51:35.502251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.913309371
5-th percentile-1.678663611
Q1-0.6944627999
median-0.5254368507
Q30.1301470073
95-th percentile0.8948310749
Maximum1.179747606
Range3.093056977
Interquartile range (IQR)0.8246098072

Descriptive statistics

Standard deviation0.9018333839
Coefficient of variation (CV)-2.254181055
Kurtosis0.09867797275
Mean-0.4000714059
Median Absolute Deviation (MAD)0.5238753011
Skewness0.1119172118
Sum-4.000714059
Variance0.8133034524
MonotonicityNot monotonic
2025-03-30T10:51:35.958352image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.913309371 1
10.0%
-0.2649786635 1
10.0%
-0.7049851476 1
10.0%
-0.6628957565 1
10.0%
-0.5716703273 1
10.0%
-0.4792033742 1
10.0%
1.179747606 1
10.0%
0.2618555643 1
10.0%
0.5465997586 1
10.0%
-1.391874349 1
10.0%
ValueCountFrequency (%)
-1.913309371 1
10.0%
-1.391874349 1
10.0%
-0.7049851476 1
10.0%
-0.6628957565 1
10.0%
-0.5716703273 1
10.0%
ValueCountFrequency (%)
1.179747606 1
10.0%
0.5465997586 1
10.0%
0.2618555643 1
10.0%
-0.2649786635 1
10.0%
-0.4792033742 1
10.0%

ustreb7ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2396775184
Minimum-2.174575313
Maximum1.231748491
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:36.397974image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.174575313
5-th percentile-1.80788347
Q1-0.8386013488
median-0.0002774580181
Q30.2994766343
95-th percentile1.020664807
Maximum1.231748491
Range3.406323803
Interquartile range (IQR)1.138077983

Descriptive statistics

Standard deviation1.023115509
Coefficient of variation (CV)-4.268717047
Kurtosis-0.009652547359
Mean-0.2396775184
Median Absolute Deviation (MAD)0.6048347854
Skewness-0.5869581868
Sum-2.396775184
Variance1.046765344
MonotonicityNot monotonic
2025-03-30T10:51:36.805793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.1005736535 1
10.0%
0.7626736388 1
10.0%
-2.174575313 1
10.0%
-1.359704551 1
10.0%
-0.9691364878 1
10.0%
0.3190683252 1
10.0%
0.2407015617 1
10.0%
0.1000187375 1
10.0%
1.231748491 1
10.0%
-0.446995932 1
10.0%
ValueCountFrequency (%)
-2.174575313 1
10.0%
-1.359704551 1
10.0%
-0.9691364878 1
10.0%
-0.446995932 1
10.0%
-0.1005736535 1
10.0%
ValueCountFrequency (%)
1.231748491 1
10.0%
0.7626736388 1
10.0%
0.3190683252 1
10.0%
0.2407015617 1
10.0%
0.1000187375 1
10.0%

ustreb5ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02965234774
Minimum-1.422121864
Maximum0.9932539613
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:37.213991image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.422121864
5-th percentile-1.25141832
Q1-0.4308172065
median0.09907345789
Q30.6842088369
95-th percentile0.9932360361
Maximum0.9932539613
Range2.415375826
Interquartile range (IQR)1.115026043

Descriptive statistics

Standard deviation0.8329904286
Coefficient of variation (CV)28.09188789
Kurtosis-0.7621129839
Mean0.02965234774
Median Absolute Deviation (MAD)0.6230553042
Skewness-0.5257545211
Sum0.2965234774
Variance0.6938730542
MonotonicityNot monotonic
2025-03-30T10:51:37.666371image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.422121864 1
10.0%
-1.042780654 1
10.0%
0.2135594444 1
10.0%
0.5401027871 1
10.0%
-0.1816695615 1
10.0%
-0.5138664215 1
10.0%
-0.01541252861 1
10.0%
0.9932539613 1
10.0%
0.9932141275 1
10.0%
0.7322441869 1
10.0%
ValueCountFrequency (%)
-1.422121864 1
10.0%
-1.042780654 1
10.0%
-0.5138664215 1
10.0%
-0.1816695615 1
10.0%
-0.01541252861 1
10.0%
ValueCountFrequency (%)
0.9932539613 1
10.0%
0.9932141275 1
10.0%
0.7322441869 1
10.0%
0.5401027871 1
10.0%
0.2135594444 1
10.0%

ustreb5ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2744358392
Minimum-0.8460972013
Maximum2.059854811
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:38.074506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8460972013
5-th percentile-0.8205814252
Q1-0.3674966583
median0.284103457
Q30.4543914208
95-th percentile1.816642743
Maximum2.059854811
Range2.905952013
Interquartile range (IQR)0.821888079

Descriptive statistics

Standard deviation0.9349102355
Coefficient of variation (CV)3.40666233
Kurtosis0.1511196735
Mean0.2744358392
Median Absolute Deviation (MAD)0.5764128781
Skewness0.7785548852
Sum2.744358392
Variance0.8740571485
MonotonicityNot monotonic
2025-03-30T10:51:38.466199image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.4426838954 1
10.0%
-0.7893954766 1
10.0%
0.2621619604 1
10.0%
0.3060449536 1
10.0%
-0.1419349468 1
10.0%
0.5002705218 1
10.0%
1.519383548 1
10.0%
0.3167541176 1
10.0%
-0.8460972013 1
10.0%
2.059854811 1
10.0%
ValueCountFrequency (%)
-0.8460972013 1
10.0%
-0.7893954766 1
10.0%
-0.4426838954 1
10.0%
-0.1419349468 1
10.0%
0.2621619604 1
10.0%
ValueCountFrequency (%)
2.059854811 1
10.0%
1.519383548 1
10.0%
0.5002705218 1
10.0%
0.3167541176 1
10.0%
0.3060449536 1
10.0%

ustreb2ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2175705346
Minimum-1.269599311
Maximum1.594117462
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:51:38.842112image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.269599311
5-th percentile-1.227516554
Q1-0.9558036365
median-0.3310350043
Q30.2018831753
95-th percentile1.403566076
Maximum1.594117462
Range2.863716773
Interquartile range (IQR)1.157686812

Descriptive statistics

Standard deviation0.9828382874
Coefficient of variation (CV)-4.517331766
Kurtosis-0.3016677668
Mean-0.2175705346
Median Absolute Deviation (MAD)0.6614336467
Skewness0.8735291847
Sum-2.175705346
Variance0.9659710992
MonotonicityNot monotonic
2025-03-30T10:51:39.225063image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.3602599015 1
10.0%
1.594117462 1
10.0%
-0.3018101071 1
10.0%
0.3656985242 1
10.0%
-0.2895628714 1
10.0%
-1.269599311 1
10.0%
-0.9517082382 1
10.0%
1.170669939 1
10.0%
-0.9571687692 1
10.0%
-1.176082072 1
10.0%
ValueCountFrequency (%)
-1.269599311 1
10.0%
-1.176082072 1
10.0%
-0.9571687692 1
10.0%
-0.9517082382 1
10.0%
-0.3602599015 1
10.0%
ValueCountFrequency (%)
1.594117462 1
10.0%
1.170669939 1
10.0%
0.3656985242 1
10.0%
-0.2895628714 1
10.0%
-0.3018101071 1
10.0%

ustreb2ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2724690201
Minimum-1.870685584
Maximum1.644467433
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:39.624723image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.870685584
5-th percentile-1.372510961
Q1-0.1228694014
median0.1433471787
Q31.253745666
95-th percentile1.624326136
Maximum1.644467433
Range3.515153017
Interquartile range (IQR)1.376615068

Descriptive statistics

Standard deviation1.115407781
Coefficient of variation (CV)4.093704967
Kurtosis0.03926592976
Mean0.2724690201
Median Absolute Deviation (MAD)0.6747466975
Skewness-0.4386950732
Sum2.724690201
Variance1.244134518
MonotonicityNot monotonic
2025-03-30T10:51:40.048794image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.644467433 1
10.0%
-1.870685584 1
10.0%
-0.1286887827 1
10.0%
1.599708994 1
10.0%
-0.1054112575 1
10.0%
1.476373379 1
10.0%
-0.7636308663 1
10.0%
0.5858625286 1
10.0%
0.174837306 1
10.0%
0.1118570513 1
10.0%
ValueCountFrequency (%)
-1.870685584 1
10.0%
-0.7636308663 1
10.0%
-0.1286887827 1
10.0%
-0.1054112575 1
10.0%
0.1118570513 1
10.0%
ValueCountFrequency (%)
1.644467433 1
10.0%
1.599708994 1
10.0%
1.476373379 1
10.0%
0.5858625286 1
10.0%
0.174837306 1
10.0%

ustreb1ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1862467303
Minimum-1.452141935
Maximum2.471247045
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:40.497469image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.452141935
5-th percentile-1.367743989
Q1-0.6997362936
median0.5199519396
Q30.6256338606
95-th percentile1.737528045
Maximum2.471247045
Range3.92338898
Interquartile range (IQR)1.325370154

Descriptive statistics

Standard deviation1.168950689
Coefficient of variation (CV)6.276355494
Kurtosis0.3998094318
Mean0.1862467303
Median Absolute Deviation (MAD)0.4803617532
Skewness0.3228012759
Sum1.862467303
Variance1.366445714
MonotonicityNot monotonic
2025-03-30T10:51:40.930914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.452141935 1
10.0%
0.6311447093 1
10.0%
-0.1199631289 1
10.0%
0.544096181 1
10.0%
2.471247045 1
10.0%
-0.8929940152 1
10.0%
0.4958076982 1
10.0%
0.6091013144 1
10.0%
0.8407603776 1
10.0%
-1.264590943 1
10.0%
ValueCountFrequency (%)
-1.452141935 1
10.0%
-1.264590943 1
10.0%
-0.8929940152 1
10.0%
-0.1199631289 1
10.0%
0.4958076982 1
10.0%
ValueCountFrequency (%)
2.471247045 1
10.0%
0.8407603776 1
10.0%
0.6311447093 1
10.0%
0.6091013144 1
10.0%
0.544096181 1
10.0%

ustreb1ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3339427477
Minimum-0.9641830052
Maximum1.107902498
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:51:41.357838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9641830052
5-th percentile-0.6226148555
Q1-0.08450938768
median0.5541646751
Q30.700996411
95-th percentile1.032269974
Maximum1.107902498
Range2.072085503
Interquartile range (IQR)0.7855057987

Descriptive statistics

Standard deviation0.6317364892
Coefficient of variation (CV)1.891750887
Kurtosis0.4772362613
Mean0.3339427477
Median Absolute Deviation (MAD)0.4182048878
Skewness-0.9154085499
Sum3.339427477
Variance0.3990909918
MonotonicityNot monotonic
2025-03-30T10:51:41.813334image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.1471526658 1
10.0%
0.5159049872 1
10.0%
0.592424363 1
10.0%
0.7037811703 1
10.0%
0.6926421329 1
10.0%
0.1034204466 1
10.0%
1.107902498 1
10.0%
0.9398302222 1
10.0%
-0.2051426726 1
10.0%
-0.9641830052 1
10.0%
ValueCountFrequency (%)
-0.9641830052 1
10.0%
-0.2051426726 1
10.0%
-0.1471526658 1
10.0%
0.1034204466 1
10.0%
0.5159049872 1
10.0%
ValueCountFrequency (%)
1.107902498 1
10.0%
0.9398302222 1
10.0%
0.7037811703 1
10.0%
0.6926421329 1
10.0%
0.592424363 1
10.0%

ustret90ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07425813267
Minimum-0.8801848525
Maximum0.9517816603
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:51:42.239100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8801848525
5-th percentile-0.8622151007
Q1-0.3092939868
median-0.2434461294
Q30.09415381944
95-th percentile0.9510474268
Maximum0.9517816603
Range1.831966513
Interquartile range (IQR)0.4034478062

Descriptive statistics

Standard deviation0.6284010652
Coefficient of variation (CV)-8.462387117
Kurtosis-0.1620862208
Mean-0.07425813267
Median Absolute Deviation (MAD)0.3291915647
Skewness0.6472023045
Sum-0.7425813267
Variance0.3948878988
MonotonicityNot monotonic
2025-03-30T10:51:42.672167image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.1025622036 1
10.0%
-0.2281120385 1
10.0%
-0.8402520708 1
10.0%
-0.8801848525 1
10.0%
-0.2587802203 1
10.0%
-0.3142506208 1
10.0%
0.9501500302 1
10.0%
-0.2944240848 1
10.0%
0.9517816603 1
10.0%
0.06892866704 1
10.0%
ValueCountFrequency (%)
-0.8801848525 1
10.0%
-0.8402520708 1
10.0%
-0.3142506208 1
10.0%
-0.2944240848 1
10.0%
-0.2587802203 1
10.0%
ValueCountFrequency (%)
0.9517816603 1
10.0%
0.9501500302 1
10.0%
0.1025622036 1
10.0%
0.06892866704 1
10.0%
-0.2281120385 1
10.0%

ustret90ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09601976133
Minimum-2.00078224
Maximum1.33733288
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:43.123596image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.00078224
5-th percentile-1.778708785
Q1-0.5053971535
median0.3492276102
Q31.143763206
95-th percentile1.290795207
Maximum1.33733288
Range3.33811512
Interquartile range (IQR)1.649160359

Descriptive statistics

Standard deviation1.179707326
Coefficient of variation (CV)12.28608892
Kurtosis-0.7024419261
Mean0.09601976133
Median Absolute Deviation (MAD)0.8798690337
Skewness-0.703201169
Sum0.9601976133
Variance1.391709375
MonotonicityNot monotonic
2025-03-30T10:51:43.556537image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.507285673 1
10.0%
0.9022204456 1
10.0%
-2.00078224 1
10.0%
-0.5468261531 1
10.0%
1.33733288 1
10.0%
0.4727073129 1
10.0%
1.233915829 1
10.0%
0.2257479076 1
10.0%
1.224277459 1
10.0%
-0.3811101549 1
10.0%
ValueCountFrequency (%)
-2.00078224 1
10.0%
-1.507285673 1
10.0%
-0.5468261531 1
10.0%
-0.3811101549 1
10.0%
0.2257479076 1
10.0%
ValueCountFrequency (%)
1.33733288 1
10.0%
1.233915829 1
10.0%
1.224277459 1
10.0%
0.9022204456 1
10.0%
0.4727073129 1
10.0%

ustret30ret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08358785799
Minimum-2.197469609
Maximum1.319478971
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:43.956704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.197469609
5-th percentile-1.645099626
Q1-0.654782731
median0.09931515811
Q30.5469773568
95-th percentile1.056006678
Maximum1.319478971
Range3.51694858
Interquartile range (IQR)1.201760088

Descriptive statistics

Standard deviation1.01516385
Coefficient of variation (CV)-12.14487217
Kurtosis0.9060581746
Mean-0.08358785799
Median Absolute Deviation (MAD)0.5635381359
Skewness-0.9052711343
Sum-0.8358785799
Variance1.030557643
MonotonicityNot monotonic
2025-03-30T10:51:44.373065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.2249611517 1
10.0%
0.4127446232 1
10.0%
-0.9699807574 1
10.0%
-0.07791760524 1
10.0%
-2.197469609 1
10.0%
-0.8470711062 1
10.0%
0.7339849866 1
10.0%
0.5917216014 1
10.0%
1.319478971 1
10.0%
-0.02633083547 1
10.0%
ValueCountFrequency (%)
-2.197469609 1
10.0%
-0.9699807574 1
10.0%
-0.8470711062 1
10.0%
-0.07791760524 1
10.0%
-0.02633083547 1
10.0%
ValueCountFrequency (%)
1.319478971 1
10.0%
0.7339849866 1
10.0%
0.5917216014 1
10.0%
0.4127446232 1
10.0%
0.2249611517 1
10.0%

ustret30ind
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1256558721
Minimum-0.8225783677
Maximum1.97617258
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:44.789800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8225783677
5-th percentile-0.8179790026
Q1-0.6635556195
median-0.06310375659
Q30.405786284
95-th percentile1.737639297
Maximum1.97617258
Range2.798750948
Interquartile range (IQR)1.069341903

Descriptive statistics

Standard deviation0.9679554151
Coefficient of variation (CV)7.703224683
Kurtosis-0.09108081498
Mean0.1256558721
Median Absolute Deviation (MAD)0.5808912603
Skewness0.9253790729
Sum1.256558721
Variance0.9369376856
MonotonicityNot monotonic
2025-03-30T10:51:45.184864image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.2590757371 1
10.0%
-0.3852832503 1
10.0%
-0.8123575563 1
10.0%
-0.8225783677 1
10.0%
-0.4416674712 1
10.0%
0.3503525805 1
10.0%
1.97617258 1
10.0%
-0.7375183355 1
10.0%
0.4242641852 1
10.0%
1.446098619 1
10.0%
ValueCountFrequency (%)
-0.8225783677 1
10.0%
-0.8123575563 1
10.0%
-0.7375183355 1
10.0%
-0.4416674712 1
10.0%
-0.3852832503 1
10.0%
ValueCountFrequency (%)
1.97617258 1
10.0%
1.446098619 1
10.0%
0.4242641852 1
10.0%
0.3503525805 1
10.0%
0.2590757371 1
10.0%

ustrecpiret
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0380153421
Minimum-1.886987074
Maximum1.729467052
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:51:45.589283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.886987074
5-th percentile-1.651963263
Q1-0.2986722941
median-0.07970874673
Q30.9026313772
95-th percentile1.474419704
Maximum1.729467052
Range3.616454126
Interquartile range (IQR)1.201303671

Descriptive statistics

Standard deviation1.117484029
Coefficient of variation (CV)29.39560628
Kurtosis-0.3421402385
Mean0.0380153421
Median Absolute Deviation (MAD)0.8160640418
Skewness-0.2549025063
Sum0.380153421
Variance1.248770555
MonotonicityNot monotonic
2025-03-30T10:51:46.005565image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.4038031308 1
10.0%
-1.364711939 1
10.0%
-0.1206163248 1
10.0%
-0.03880116863 1
10.0%
1.162695169 1
10.0%
1.068907459 1
10.0%
-0.2630597361 1
10.0%
-0.3105431468 1
10.0%
-1.886987074 1
10.0%
1.729467052 1
10.0%
ValueCountFrequency (%)
-1.886987074 1
10.0%
-1.364711939 1
10.0%
-0.3105431468 1
10.0%
-0.2630597361 1
10.0%
-0.1206163248 1
10.0%
ValueCountFrequency (%)
1.729467052 1
10.0%
1.162695169 1
10.0%
1.068907459 1
10.0%
0.4038031308 1
10.0%
-0.03880116863 1
10.0%

ajexm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5527123323
Minimum-0.9504177783
Maximum2.127670458
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:51:46.446981image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9504177783
5-th percentile-0.8744889828
Q1-0.5208101351
median0.5126298663
Q31.509255193
95-th percentile2.08554981
Maximum2.127670458
Range3.078088236
Interquartile range (IQR)2.030065328

Descriptive statistics

Standard deviation1.15836415
Coefficient of variation (CV)2.095781264
Kurtosis-1.463016466
Mean0.5527123323
Median Absolute Deviation (MAD)1.210542028
Skewness0.05976819472
Sum5.527123323
Variance1.341807504
MonotonicityNot monotonic
2025-03-30T10:51:46.862105image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.034069019 1
10.0%
-0.7816871216 1
10.0%
0.6645703568 1
10.0%
2.127670458 1
10.0%
-0.9504177783 1
10.0%
1.680929832 1
10.0%
-0.740154223 1
10.0%
0.9942312758 1
10.0%
0.1372221285 1
10.0%
0.3606893759 1
10.0%
ValueCountFrequency (%)
-0.9504177783 1
10.0%
-0.7816871216 1
10.0%
-0.740154223 1
10.0%
0.1372221285 1
10.0%
0.3606893759 1
10.0%
ValueCountFrequency (%)
2.127670458 1
10.0%
2.034069019 1
10.0%
1.680929832 1
10.0%
0.9942312758 1
10.0%
0.6645703568 1
10.0%

ajpm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1545400732
Minimum-1.324484341
Maximum0.4923171256
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:47.278412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.324484341
5-th percentile-1.130257716
Q1-0.6736065697
median0.06956640247
Q30.3109511067
95-th percentile0.4746222938
Maximum0.4923171256
Range1.816801467
Interquartile range (IQR)0.9845576764

Descriptive statistics

Standard deviation0.6417024183
Coefficient of variation (CV)-4.152336706
Kurtosis-0.6845646513
Mean-0.1545400732
Median Absolute Deviation (MAD)0.3351212324
Skewness-0.8863566264
Sum-1.545400732
Variance0.4117819937
MonotonicityNot monotonic
2025-03-30T10:51:47.715321image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.1311085631 1
10.0%
-0.8928696181 1
10.0%
0.008024241859 1
10.0%
0.3563799927 1
10.0%
-1.324484341 1
10.0%
0.4529952771 1
10.0%
0.1746644489 1
10.0%
-0.8754449287 1
10.0%
0.4923171256 1
10.0%
-0.06809149289 1
10.0%
ValueCountFrequency (%)
-1.324484341 1
10.0%
-0.8928696181 1
10.0%
-0.8754449287 1
10.0%
-0.06809149289 1
10.0%
0.008024241859 1
10.0%
ValueCountFrequency (%)
0.4923171256 1
10.0%
0.4529952771 1
10.0%
0.3563799927 1
10.0%
0.1746644489 1
10.0%
0.1311085631 1
10.0%

cshtrm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2164823293
Minimum-1.242612634
Maximum2.715149317
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:48.178096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.242612634
5-th percentile-0.9423157589
Q1-0.2892890275
median-0.01160813368
Q30.1126310586
95-th percentile2.18629394
Maximum2.715149317
Range3.957761951
Interquartile range (IQR)0.4019200861

Descriptive statistics

Standard deviation1.121036984
Coefficient of variation (CV)5.17842259
Kurtosis2.169807641
Mean0.2164823293
Median Absolute Deviation (MAD)0.2543678479
Skewness1.386505126
Sum2.164823293
Variance1.25672392
MonotonicityNot monotonic
2025-03-30T10:51:48.630104image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.539915146 1
10.0%
-0.05092317746 1
10.0%
2.715149317 1
10.0%
-0.03788023414 1
10.0%
-1.242612634 1
10.0%
0.03055007936 1
10.0%
0.01466396678 1
10.0%
0.139991385 1
10.0%
-0.5752862451 1
10.0%
-0.3687443109 1
10.0%
ValueCountFrequency (%)
-1.242612634 1
10.0%
-0.5752862451 1
10.0%
-0.3687443109 1
10.0%
-0.05092317746 1
10.0%
-0.03788023414 1
10.0%
ValueCountFrequency (%)
2.715149317 1
10.0%
1.539915146 1
10.0%
0.139991385 1
10.0%
0.03055007936 1
10.0%
0.01466396678 1
10.0%

prccm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1803839714
Minimum-1.300303817
Maximum1.94847941
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:49.074931image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.300303817
5-th percentile-1.097768936
Q1-0.3368409621
median0.09553223186
Q30.6503779922
95-th percentile1.607079061
Maximum1.94847941
Range3.248783227
Interquartile range (IQR)0.9872189543

Descriptive statistics

Standard deviation0.9635771499
Coefficient of variation (CV)5.341811374
Kurtosis-0.0451832392
Mean0.1803839714
Median Absolute Deviation (MAD)0.5339680354
Skewness0.3321023967
Sum1.803839714
Variance0.9284809239
MonotonicityNot monotonic
2025-03-30T10:51:49.500078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.300303817 1
10.0%
-0.3566886533 1
10.0%
1.189811967 1
10.0%
-0.04123552455 1
10.0%
1.94847941 1
10.0%
0.2322999883 1
10.0%
0.5877448176 1
10.0%
-0.2772978885 1
10.0%
0.671255717 1
10.0%
-0.8502263027 1
10.0%
ValueCountFrequency (%)
-1.300303817 1
10.0%
-0.8502263027 1
10.0%
-0.3566886533 1
10.0%
-0.2772978885 1
10.0%
-0.04123552455 1
10.0%
ValueCountFrequency (%)
1.94847941 1
10.0%
1.189811967 1
10.0%
0.671255717 1
10.0%
0.5877448176 1
10.0%
0.2322999883 1
10.0%

prchm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7541003981
Minimum-1.991899797
Maximum0.878734173
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:51:49.931545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.991899797
5-th percentile-1.950929454
Q1-1.773312075
median-0.6447158002
Q30.03020801845
95-th percentile0.7265299294
Maximum0.878734173
Range2.87063397
Interquartile range (IQR)1.803520093

Descriptive statistics

Standard deviation1.069747626
Coefficient of variation (CV)-1.418574541
Kurtosis-1.521475686
Mean-0.7541003981
Median Absolute Deviation (MAD)1.126587318
Skewness0.2128563837
Sum-7.541003981
Variance1.144359983
MonotonicityNot monotonic
2025-03-30T10:51:50.365257image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.878734173 1
10.0%
0.5405025206 1
10.0%
-0.770246664 1
10.0%
-1.900854589 1
10.0%
-1.991899797 1
10.0%
0.1781402625 1
10.0%
-0.4135887138 1
10.0%
-1.775321032 1
10.0%
-1.767285204 1
10.0%
-0.5191849364 1
10.0%
ValueCountFrequency (%)
-1.991899797 1
10.0%
-1.900854589 1
10.0%
-1.775321032 1
10.0%
-1.767285204 1
10.0%
-0.770246664 1
10.0%
ValueCountFrequency (%)
0.878734173 1
10.0%
0.5405025206 1
10.0%
0.1781402625 1
10.0%
-0.4135887138 1
10.0%
-0.5191849364 1
10.0%

prclm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6627728909
Minimum-1.994779358
Maximum0.7842113034
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:51:50.776326image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.994779358
5-th percentile-1.845857638
Q1-1.456469844
median-0.9331560545
Q30.3511142973
95-th percentile0.7556576586
Maximum0.7842113034
Range2.778990661
Interquartile range (IQR)1.807584142

Descriptive statistics

Standard deviation1.040336259
Coefficient of variation (CV)-1.569672317
Kurtosis-1.336700517
Mean-0.6627728909
Median Absolute Deviation (MAD)0.6877473835
Skewness0.4681059944
Sum-6.627728909
Variance1.082299533
MonotonicityNot monotonic
2025-03-30T10:51:51.213846image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.577964674 1
10.0%
0.7207587593 1
10.0%
-0.6089515052 1
10.0%
0.7842113034 1
10.0%
-1.091985355 1
10.0%
-1.663842202 1
10.0%
-1.994779358 1
10.0%
-0.9886897188 1
10.0%
0.6711362315 1
10.0%
-0.8776223901 1
10.0%
ValueCountFrequency (%)
-1.994779358 1
10.0%
-1.663842202 1
10.0%
-1.577964674 1
10.0%
-1.091985355 1
10.0%
-0.9886897188 1
10.0%
ValueCountFrequency (%)
0.7842113034 1
10.0%
0.7207587593 1
10.0%
0.6711362315 1
10.0%
-0.6089515052 1
10.0%
-0.8776223901 1
10.0%

trfm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2072615302
Minimum-1.53731885
Maximum1.952531903
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:51.668551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.53731885
5-th percentile-1.197625489
Q1-0.6457838755
median0.3284017711
Q30.6001938
95-th percentile1.951348625
Maximum1.952531903
Range3.489850752
Interquartile range (IQR)1.245977675

Descriptive statistics

Standard deviation1.14745668
Coefficient of variation (CV)5.536274286
Kurtosis-0.5858661671
Mean0.2072615302
Median Absolute Deviation (MAD)0.9721313344
Skewness0.2944420815
Sum2.072615302
Variance1.316656832
MonotonicityNot monotonic
2025-03-30T10:51:52.130271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.53731885 1
10.0%
1.949902398 1
10.0%
-0.6396209389 1
10.0%
0.4805126238 1
10.0%
1.952531903 1
10.0%
0.2819980449 1
10.0%
0.3748054973 1
10.0%
-0.7824447137 1
10.0%
-0.6478381876 1
10.0%
0.6400875254 1
10.0%
ValueCountFrequency (%)
-1.53731885 1
10.0%
-0.7824447137 1
10.0%
-0.6478381876 1
10.0%
-0.6396209389 1
10.0%
0.2819980449 1
10.0%
ValueCountFrequency (%)
1.952531903 1
10.0%
1.949902398 1
10.0%
0.6400875254 1
10.0%
0.4805126238 1
10.0%
0.3748054973 1
10.0%

trt1m
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3137492362
Minimum-1.318777191
Maximum1.360167078
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:52.607677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.318777191
5-th percentile-0.8393437037
Q1-0.0351702721
median0.2449585444
Q30.9082051755
95-th percentile1.357090625
Maximum1.360167078
Range2.678944268
Interquartile range (IQR)0.9433754476

Descriptive statistics

Standard deviation0.8173926789
Coefficient of variation (CV)2.605241972
Kurtosis0.4890102499
Mean0.3137492362
Median Absolute Deviation (MAD)0.3925011388
Skewness-0.5007446344
Sum3.137492362
Variance0.6681307916
MonotonicityNot monotonic
2025-03-30T10:51:53.037816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.04171574678 1
10.0%
0.3872008375 1
10.0%
0.1027162513 1
10.0%
-1.318777191 1
10.0%
-0.2533694421 1
10.0%
-0.01553384804 1
10.0%
1.353330516 1
10.0%
0.5288005101 1
10.0%
1.034673397 1
10.0%
1.360167078 1
10.0%
ValueCountFrequency (%)
-1.318777191 1
10.0%
-0.2533694421 1
10.0%
-0.04171574678 1
10.0%
-0.01553384804 1
10.0%
0.1027162513 1
10.0%
ValueCountFrequency (%)
1.360167078 1
10.0%
1.353330516 1
10.0%
1.034673397 1
10.0%
0.5288005101 1
10.0%
0.3872008375 1
10.0%

index_y
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1266130225
Minimum-1.5328079
Maximum2.05097063
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:53.436232image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.5328079
5-th percentile-1.1549298
Q1-0.5085088772
median0.01485088369
Q30.6085859573
95-th percentile1.689099454
Maximum2.05097063
Range3.583778531
Interquartile range (IQR)1.117094835

Descriptive statistics

Standard deviation1.047229735
Coefficient of variation (CV)8.271106033
Kurtosis-0.02471137006
Mean0.1266130225
Median Absolute Deviation (MAD)0.5770152189
Skewness0.3660731813
Sum1.266130225
Variance1.096690117
MonotonicityNot monotonic
2025-03-30T10:51:53.911899image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.5180711524 1
10.0%
0.6359592854 1
10.0%
-0.3449830166 1
10.0%
-0.6930787877 1
10.0%
0.3746847839 1
10.0%
-0.4798220516 1
10.0%
2.05097063 1
10.0%
-1.5328079 1
10.0%
1.246812461 1
10.0%
0.5264659733 1
10.0%
ValueCountFrequency (%)
-1.5328079 1
10.0%
-0.6930787877 1
10.0%
-0.5180711524 1
10.0%
-0.4798220516 1
10.0%
-0.3449830166 1
10.0%
ValueCountFrequency (%)
2.05097063 1
10.0%
1.246812461 1
10.0%
0.6359592854 1
10.0%
0.5264659733 1
10.0%
0.3746847839 1
10.0%

CAPEI
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6607993176
Minimum-2.562068683
Maximum0.7508137433
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:51:54.357259image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.562068683
5-th percentile-2.347850533
Q1-1.07665795
median-0.3956060846
Q30.05789000769
95-th percentile0.5417606309
Maximum0.7508137433
Range3.312882427
Interquartile range (IQR)1.134547958

Descriptive statistics

Standard deviation1.044164788
Coefficient of variation (CV)-1.580154156
Kurtosis-0.2018946744
Mean-0.6607993176
Median Absolute Deviation (MAD)0.632672346
Skewness-0.6780210468
Sum-6.607993176
Variance1.090280104
MonotonicityNot monotonic
2025-03-30T10:51:54.787781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.4018724615 1
10.0%
-1.10917946 1
10.0%
0.1745180695 1
10.0%
-2.086028349 1
10.0%
0.7508137433 1
10.0%
-0.2919941777 1
10.0%
-0.9790934207 1
10.0%
0.2862512713 1
10.0%
-2.562068683 1
10.0%
-0.3893397077 1
10.0%
ValueCountFrequency (%)
-2.562068683 1
10.0%
-2.086028349 1
10.0%
-1.10917946 1
10.0%
-0.9790934207 1
10.0%
-0.4018724615 1
10.0%
ValueCountFrequency (%)
0.7508137433 1
10.0%
0.2862512713 1
10.0%
0.1745180695 1
10.0%
-0.2919941777 1
10.0%
-0.3893397077 1
10.0%

bm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2586638435
Minimum-1.598741683
Maximum2.102715691
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:55.234257image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.598741683
5-th percentile-1.285410814
Q1-0.4207815232
median0.2640179881
Q30.8692921425
95-th percentile1.863379347
Maximum2.102715691
Range3.701457374
Interquartile range (IQR)1.290073666

Descriptive statistics

Standard deviation1.126712275
Coefficient of variation (CV)4.355893967
Kurtosis-0.4319814394
Mean0.2586638435
Median Absolute Deviation (MAD)0.7084370719
Skewness0.03977592039
Sum2.586638435
Variance1.269480551
MonotonicityNot monotonic
2025-03-30T10:51:55.681157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9024508631 1
10.0%
2.102715691 1
10.0%
-1.598741683 1
10.0%
0.93539215 1
10.0%
-0.4814819938 1
10.0%
0.06202317796 1
10.0%
-0.2386801116 1
10.0%
0.6709921197 1
10.0%
0.4660127982 1
10.0%
1.57085715 1
10.0%
ValueCountFrequency (%)
-1.598741683 1
10.0%
-0.9024508631 1
10.0%
-0.4814819938 1
10.0%
-0.2386801116 1
10.0%
0.06202317796 1
10.0%
ValueCountFrequency (%)
2.102715691 1
10.0%
1.57085715 1
10.0%
0.93539215 1
10.0%
0.6709921197 1
10.0%
0.4660127982 1
10.0%

evm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006560755062
Minimum-2.133837288
Maximum1.790463514
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:56.127187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.133837288
5-th percentile-1.719139613
Q1-0.910553215
median0.1124715599
Q30.7955909269
95-th percentile1.558340399
Maximum1.790463514
Range3.924300802
Interquartile range (IQR)1.706144142

Descriptive statistics

Standard deviation1.21855172
Coefficient of variation (CV)185.7334573
Kurtosis-0.5420069334
Mean0.006560755062
Median Absolute Deviation (MAD)0.9547210056
Skewness-0.3542019455
Sum0.06560755062
Variance1.484868295
MonotonicityNot monotonic
2025-03-30T10:51:56.590063image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.006095920046 1
10.0%
0.859750761 1
10.0%
1.790463514 1
10.0%
0.6031114247 1
10.0%
-1.212286899 1
10.0%
-2.133837288 1
10.0%
-1.150520704 1
10.0%
-0.1906507482 1
10.0%
0.2188471997 1
10.0%
1.27463437 1
10.0%
ValueCountFrequency (%)
-2.133837288 1
10.0%
-1.212286899 1
10.0%
-1.150520704 1
10.0%
-0.1906507482 1
10.0%
0.006095920046 1
10.0%
ValueCountFrequency (%)
1.790463514 1
10.0%
1.27463437 1
10.0%
0.859750761 1
10.0%
0.6031114247 1
10.0%
0.2188471997 1
10.0%

pe_op_basic
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3591137201
Minimum-3.174748938
Maximum1.544225093
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:57.037524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.174748938
5-th percentile-2.410672207
Q1-1.009149484
median-0.1212157614
Q30.3610957266
95-th percentile1.403566634
Maximum1.544225093
Range4.718974031
Interquartile range (IQR)1.37024521

Descriptive statistics

Standard deviation1.38152749
Coefficient of variation (CV)-3.847047364
Kurtosis0.7406112944
Mean-0.3591137201
Median Absolute Deviation (MAD)0.8780369352
Skewness-0.6650647087
Sum-3.591137201
Variance1.908618206
MonotonicityNot monotonic
2025-03-30T10:51:57.482680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9794591222 1
10.0%
-1.019046271 1
10.0%
-1.476800647 1
10.0%
1.544225093 1
10.0%
0.459454719 1
10.0%
-0.298678063 1
10.0%
0.06601874934 1
10.0%
-3.174748938 1
10.0%
0.05624654016 1
10.0%
1.231650739 1
10.0%
ValueCountFrequency (%)
-3.174748938 1
10.0%
-1.476800647 1
10.0%
-1.019046271 1
10.0%
-0.9794591222 1
10.0%
-0.298678063 1
10.0%
ValueCountFrequency (%)
1.544225093 1
10.0%
1.231650739 1
10.0%
0.459454719 1
10.0%
0.06601874934 1
10.0%
0.05624654016 1
10.0%

pe_op_dil
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1256161937
Minimum-0.9297695193
Maximum0.7868248144
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:51:57.928798image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9297695193
5-th percentile-0.7274828196
Q1-0.08506819428
median0.2543635527
Q30.5067199811
95-th percentile0.6748527326
Maximum0.7868248144
Range1.716594334
Interquartile range (IQR)0.5917881754

Descriptive statistics

Standard deviation0.5316671258
Coefficient of variation (CV)4.232472822
Kurtosis0.1576009047
Mean0.1256161937
Median Absolute Deviation (MAD)0.3091319612
Skewness-0.8560909166
Sum1.256161937
Variance0.2826699326
MonotonicityNot monotonic
2025-03-30T10:51:58.421426image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.7868248144 1
10.0%
-0.9297695193 1
10.0%
-0.08026595636 1
10.0%
0.537997966 1
10.0%
0.5136599689 1
10.0%
-0.08666894025 1
10.0%
0.08870996343 1
10.0%
0.4200171419 1
10.0%
0.485900018 1
10.0%
-0.4802435198 1
10.0%
ValueCountFrequency (%)
-0.9297695193 1
10.0%
-0.4802435198 1
10.0%
-0.08666894025 1
10.0%
-0.08026595636 1
10.0%
0.08870996343 1
10.0%
ValueCountFrequency (%)
0.7868248144 1
10.0%
0.537997966 1
10.0%
0.5136599689 1
10.0%
0.485900018 1
10.0%
0.4200171419 1
10.0%

pe_exi
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8358710172
Minimum-1.542177084
Maximum0.6694082148
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)90.0%
Memory size160.0 B
2025-03-30T10:51:58.915722image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.542177084
5-th percentile-1.524461283
Q1-1.356538146
median-0.9474400084
Q3-0.4642602581
95-th percentile0.1898843726
Maximum0.6694082148
Range2.211585299
Interquartile range (IQR)0.8922778877

Descriptive statistics

Standard deviation0.684701895
Coefficient of variation (CV)-0.8191477882
Kurtosis1.417375329
Mean-0.8358710172
Median Absolute Deviation (MAD)0.4600466007
Skewness1.14615185
Sum-8.358710172
Variance0.468816685
MonotonicityNot monotonic
2025-03-30T10:51:59.393027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.3962003235 1
10.0%
-1.357831923 1
10.0%
-1.011836928 1
10.0%
-0.5438248672 1
10.0%
-0.883043089 1
10.0%
-1.352656814 1
10.0%
-0.4377387218 1
10.0%
0.6694082148 1
10.0%
-1.502808636 1
10.0%
-1.542177084 1
10.0%
ValueCountFrequency (%)
-1.542177084 1
10.0%
-1.502808636 1
10.0%
-1.357831923 1
10.0%
-1.352656814 1
10.0%
-1.011836928 1
10.0%
ValueCountFrequency (%)
0.6694082148 1
10.0%
-0.3962003235 1
10.0%
-0.4377387218 1
10.0%
-0.5438248672 1
10.0%
-0.883043089 1
10.0%

pe_inc
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2730607153
Minimum-1.781602429
Maximum2.63062328
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:51:59.822363image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.781602429
5-th percentile-1.622423931
Q1-0.6084361858
median0.04569162903
Q31.321711344
95-th percentile2.269246268
Maximum2.63062328
Range4.412225709
Interquartile range (IQR)1.930147529

Descriptive statistics

Standard deviation1.462095407
Coefficient of variation (CV)5.354469994
Kurtosis-1.164358462
Mean0.2730607153
Median Absolute Deviation (MAD)1.234367708
Skewness0.1640135849
Sum2.730607153
Variance2.137722979
MonotonicityNot monotonic
2025-03-30T10:52:00.284355image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.63062328 1
10.0%
-0.4683215175 1
10.0%
-1.427872433 1
10.0%
1.196755324 1
10.0%
-1.781602429 1
10.0%
1.827563252 1
10.0%
0.5597047755 1
10.0%
1.36336335 1
10.0%
-0.5375373018 1
10.0%
-0.6320691471 1
10.0%
ValueCountFrequency (%)
-1.781602429 1
10.0%
-1.427872433 1
10.0%
-0.6320691471 1
10.0%
-0.5375373018 1
10.0%
-0.4683215175 1
10.0%
ValueCountFrequency (%)
2.63062328 1
10.0%
1.827563252 1
10.0%
1.36336335 1
10.0%
1.196755324 1
10.0%
0.5597047755 1
10.0%

ps
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1820345094
Minimum-1.154245411
Maximum2.543038339
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:52:00.713400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.154245411
5-th percentile-1.129470967
Q1-0.635319698
median0.2835285483
Q30.524060542
95-th percentile1.881981604
Maximum2.543038339
Range3.69728375
Interquartile range (IQR)1.15938024

Descriptive statistics

Standard deviation1.110096996
Coefficient of variation (CV)6.098277739
Kurtosis1.185196008
Mean0.1820345094
Median Absolute Deviation (MAD)0.6709663104
Skewness0.8663768986
Sum1.820345094
Variance1.232315341
MonotonicityNot monotonic
2025-03-30T10:52:01.192106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.7577898478 1
10.0%
-1.099191091 1
10.0%
0.2918526018 1
10.0%
2.543038339 1
10.0%
-0.2679092484 1
10.0%
-1.154245411 1
10.0%
1.074023373 1
10.0%
0.2752044947 1
10.0%
0.324921741 1
10.0%
0.5904401423 1
10.0%
ValueCountFrequency (%)
-1.154245411 1
10.0%
-1.099191091 1
10.0%
-0.7577898478 1
10.0%
-0.2679092484 1
10.0%
0.2752044947 1
10.0%
ValueCountFrequency (%)
2.543038339 1
10.0%
1.074023373 1
10.0%
0.5904401423 1
10.0%
0.324921741 1
10.0%
0.2918526018 1
10.0%

pcf
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6852044127
Minimum-1.486057687
Maximum2.967698779
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)20.0%
Memory size160.0 B
2025-03-30T10:52:01.685084image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.486057687
5-th percentile-1.115468595
Q10.1666747162
median0.7017330051
Q31.411739074
95-th percentile2.388272888
Maximum2.967698779
Range4.453756466
Interquartile range (IQR)1.245064358

Descriptive statistics

Standard deviation1.254404586
Coefficient of variation (CV)1.830701266
Kurtosis0.4477333335
Mean0.6852044127
Median Absolute Deviation (MAD)0.6873528946
Skewness0.04134305266
Sum6.852044127
Variance1.573530864
MonotonicityNot monotonic
2025-03-30T10:52:02.116063image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.967698779 1
10.0%
0.2055494589 1
10.0%
0.1537164687 1
10.0%
1.528422258 1
10.0%
1.680085688 1
10.0%
-1.486057687 1
10.0%
-0.6625263716 1
10.0%
0.5206266103 1
10.0%
0.8828394 1
10.0%
1.061689523 1
10.0%
ValueCountFrequency (%)
-1.486057687 1
10.0%
-0.6625263716 1
10.0%
0.1537164687 1
10.0%
0.2055494589 1
10.0%
0.5206266103 1
10.0%
ValueCountFrequency (%)
2.967698779 1
10.0%
1.680085688 1
10.0%
1.528422258 1
10.0%
1.061689523 1
10.0%
0.8828394 1
10.0%

npm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2027372703
Minimum-1.704400382
Maximum0.8396000835
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:52:02.530786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.704400382
5-th percentile-1.674728942
Q1-0.5779373831
median-0.09936227028
Q30.5832261383
95-th percentile0.8301934884
Maximum0.8396000835
Range2.544000465
Interquartile range (IQR)1.161163521

Descriptive statistics

Standard deviation0.9265468894
Coefficient of variation (CV)-4.570185284
Kurtosis-0.6075706466
Mean-0.2027372703
Median Absolute Deviation (MAD)0.7395311165
Skewness-0.5771900297
Sum-2.027372703
Variance0.8584891382
MonotonicityNot monotonic
2025-03-30T10:52:02.976129image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.704400382 1
10.0%
-0.009615478364 1
10.0%
-0.03416663089 1
10.0%
-1.638463848 1
10.0%
-0.1645579097 1
10.0%
0.7808400105 1
10.0%
-0.6982222225 1
10.0%
-0.2170828649 1
10.0%
0.8396000835 1
10.0%
0.8186965388 1
10.0%
ValueCountFrequency (%)
-1.704400382 1
10.0%
-1.638463848 1
10.0%
-0.6982222225 1
10.0%
-0.2170828649 1
10.0%
-0.1645579097 1
10.0%
ValueCountFrequency (%)
0.8396000835 1
10.0%
0.8186965388 1
10.0%
0.7808400105 1
10.0%
-0.009615478364 1
10.0%
-0.03416663089 1
10.0%

opmbd
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06679729888
Minimum-1.644970677
Maximum1.16947362
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:52:03.376208image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.644970677
5-th percentile-1.527530782
Q1-0.6300690856
median0.1193956996
Q30.5711314468
95-th percentile1.11852556
Maximum1.16947362
Range2.814444296
Interquartile range (IQR)1.201200532

Descriptive statistics

Standard deviation0.969514235
Coefficient of variation (CV)-14.51427305
Kurtosis-0.972279677
Mean-0.06679729888
Median Absolute Deviation (MAD)0.7290600574
Skewness-0.4163959986
Sum-0.6679729888
Variance0.9399578519
MonotonicityNot monotonic
2025-03-30T10:52:03.798514image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.383993133 1
10.0%
-0.5688549022 1
10.0%
-1.644970677 1
10.0%
0.1052123089 1
10.0%
0.5314353199 1
10.0%
1.16947362 1
10.0%
0.584363489 1
10.0%
-0.6504738134 1
10.0%
1.056255708 1
10.0%
0.1335790903 1
10.0%
ValueCountFrequency (%)
-1.644970677 1
10.0%
-1.383993133 1
10.0%
-0.6504738134 1
10.0%
-0.5688549022 1
10.0%
0.1052123089 1
10.0%
ValueCountFrequency (%)
1.16947362 1
10.0%
1.056255708 1
10.0%
0.584363489 1
10.0%
0.5314353199 1
10.0%
0.1335790903 1
10.0%

opmad
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4681703487
Minimum-1.932282721
Maximum1.400440085
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)80.0%
Memory size160.0 B
2025-03-30T10:52:04.808689image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.932282721
5-th percentile-1.636342095
Q1-1.125547398
median-0.5126930924
Q3-0.05757962089
95-th percentile0.9658782817
Maximum1.400440085
Range3.332722806
Interquartile range (IQR)1.067967777

Descriptive statistics

Standard deviation0.9521579598
Coefficient of variation (CV)-2.033785272
Kurtosis0.5083851001
Mean-0.4681703487
Median Absolute Deviation (MAD)0.5987846444
Skewness0.5198564806
Sum-4.681703487
Variance0.9066047804
MonotonicityNot monotonic
2025-03-30T10:52:05.238986image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.3428450781 1
10.0%
-1.210765421 1
10.0%
-0.01319613238 1
10.0%
-1.274636886 1
10.0%
-0.1907300864 1
10.0%
-1.932282721 1
10.0%
-0.8698933292 1
10.0%
1.400440085 1
10.0%
-0.6825411067 1
10.0%
0.4347471891 1
10.0%
ValueCountFrequency (%)
-1.932282721 1
10.0%
-1.274636886 1
10.0%
-1.210765421 1
10.0%
-0.8698933292 1
10.0%
-0.6825411067 1
10.0%
ValueCountFrequency (%)
1.400440085 1
10.0%
0.4347471891 1
10.0%
-0.01319613238 1
10.0%
-0.1907300864 1
10.0%
-0.3428450781 1
10.0%

gpm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5695673655
Minimum-1.74092858
Maximum0.9924363612
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:52:05.668323image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.74092858
5-th percentile-1.628101522
Q1-1.392901726
median-0.8169308771
Q30.1984827919
95-th percentile0.9357971844
Maximum0.9924363612
Range2.733364941
Interquartile range (IQR)1.591384518

Descriptive statistics

Standard deviation1.004531402
Coefficient of variation (CV)-1.763674436
Kurtosis-1.200222134
Mean-0.5695673655
Median Absolute Deviation (MAD)0.6670018603
Skewness0.5993037493
Sum-5.695673655
Variance1.009083338
MonotonicityNot monotonic
2025-03-30T10:52:06.168872image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.74092858 1
10.0%
-1.138615834 1
10.0%
0.9924363612 1
10.0%
0.4336705324 1
10.0%
-1.490201785 1
10.0%
-0.6187879313 1
10.0%
0.8665715238 1
10.0%
-0.5070804295 1
10.0%
-1.015073823 1
10.0%
-1.47766369 1
10.0%
ValueCountFrequency (%)
-1.74092858 1
10.0%
-1.490201785 1
10.0%
-1.47766369 1
10.0%
-1.138615834 1
10.0%
-1.015073823 1
10.0%
ValueCountFrequency (%)
0.9924363612 1
10.0%
0.8665715238 1
10.0%
0.4336705324 1
10.0%
-0.5070804295 1
10.0%
-0.6187879313 1
10.0%

ptpm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03227939984
Minimum-1.400332345
Maximum1.101715712
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:52:06.714831image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.400332345
5-th percentile-1.219294312
Q1-0.7606255348
median0.02529295456
Q30.6979134856
95-th percentile0.995210807
Maximum1.101715712
Range2.502048057
Interquartile range (IQR)1.45853902

Descriptive statistics

Standard deviation0.8841035144
Coefficient of variation (CV)-27.38909393
Kurtosis-1.569555992
Mean-0.03227939984
Median Absolute Deviation (MAD)0.7652516856
Skewness-0.2332873463
Sum-0.3227939984
Variance0.7816390243
MonotonicityNot monotonic
2025-03-30T10:52:07.253080image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.101715712 1
10.0%
0.8650381451 1
10.0%
0.3820530358 1
10.0%
-0.4307401588 1
10.0%
-1.400332345 1
10.0%
-0.8705873268 1
10.0%
-0.9980256063 1
10.0%
0.6435005366 1
10.0%
0.7160511353 1
10.0%
-0.3314671266 1
10.0%
ValueCountFrequency (%)
-1.400332345 1
10.0%
-0.9980256063 1
10.0%
-0.8705873268 1
10.0%
-0.4307401588 1
10.0%
-0.3314671266 1
10.0%
ValueCountFrequency (%)
1.101715712 1
10.0%
0.8650381451 1
10.0%
0.7160511353 1
10.0%
0.6435005366 1
10.0%
0.3820530358 1
10.0%

cfm
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03977361059
Minimum-1.859383447
Maximum1.434037665
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:52:07.730859image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.859383447
5-th percentile-1.639796909
Q1-0.9231015487
median0.1363226933
Q30.9723073657
95-th percentile1.414000505
Maximum1.434037665
Range3.293421112
Interquartile range (IQR)1.895408914

Descriptive statistics

Standard deviation1.179926747
Coefficient of variation (CV)29.66607078
Kurtosis-1.233284105
Mean0.03977361059
Median Absolute Deviation (MAD)1.060176712
Skewness-0.4049630017
Sum0.3977361059
Variance1.392227129
MonotonicityNot monotonic
2025-03-30T10:52:08.262442image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.171246143 1
10.0%
0.1513972195 1
10.0%
1.434037665 1
10.0%
-1.371413362 1
10.0%
0.8787649617 1
10.0%
1.003488167 1
10.0%
0.1212481672 1
10.0%
-1.859383447 1
10.0%
-0.1786677657 1
10.0%
1.389510644 1
10.0%
ValueCountFrequency (%)
-1.859383447 1
10.0%
-1.371413362 1
10.0%
-1.171246143 1
10.0%
-0.1786677657 1
10.0%
0.1212481672 1
10.0%
ValueCountFrequency (%)
1.434037665 1
10.0%
1.389510644 1
10.0%
1.003488167 1
10.0%
0.8787649617 1
10.0%
0.1513972195 1
10.0%

roa
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8495254228
Minimum-2.332545341
Maximum1.14442746
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:52:08.731569image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.332545341
5-th percentile-2.30877835
Q1-1.772834151
median-1.161542163
Q30.3099529029
95-th percentile1.021793257
Maximum1.14442746
Range3.476972801
Interquartile range (IQR)2.082787054

Descriptive statistics

Standard deviation1.304594476
Coefficient of variation (CV)-1.535674438
Kurtosis-1.250280043
Mean-0.8495254228
Median Absolute Deviation (MAD)0.9092308254
Skewness0.5853316314
Sum-8.495254228
Variance1.701966747
MonotonicityNot monotonic
2025-03-30T10:52:09.205906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9326932535 1
10.0%
0.87190701 1
10.0%
0.7241682884 1
10.0%
-1.159521146 1
10.0%
-2.332545341 1
10.0%
-1.861816171 1
10.0%
-1.16356318 1
10.0%
-2.279729805 1
10.0%
-1.505888089 1
10.0%
1.14442746 1
10.0%
ValueCountFrequency (%)
-2.332545341 1
10.0%
-2.279729805 1
10.0%
-1.861816171 1
10.0%
-1.505888089 1
10.0%
-1.16356318 1
10.0%
ValueCountFrequency (%)
1.14442746 1
10.0%
0.87190701 1
10.0%
0.7241682884 1
10.0%
-0.9326932535 1
10.0%
-1.159521146 1
10.0%

roe
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06175370146
Minimum-1.438673997
Maximum1.394531502
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:52:09.634519image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.438673997
5-th percentile-1.345847513
Q1-0.9391223061
median0.02407586101
Q30.7209535779
95-th percentile1.200622512
Maximum1.394531502
Range2.833205499
Interquartile range (IQR)1.660075884

Descriptive statistics

Standard deviation0.9949996721
Coefficient of variation (CV)-16.11238919
Kurtosis-1.503166132
Mean-0.06175370146
Median Absolute Deviation (MAD)0.8442766431
Skewness-0.04640455212
Sum-0.6175370146
Variance0.9900243474
MonotonicityNot monotonic
2025-03-30T10:52:10.064627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.2106494864 1
10.0%
-0.1624977643 1
10.0%
-1.033031851 1
10.0%
0.7730823724 1
10.0%
-0.6573936723 1
10.0%
1.394531502 1
10.0%
-1.232392921 1
10.0%
0.9636226358 1
10.0%
0.5645671947 1
10.0%
-1.438673997 1
10.0%
ValueCountFrequency (%)
-1.438673997 1
10.0%
-1.232392921 1
10.0%
-1.033031851 1
10.0%
-0.6573936723 1
10.0%
-0.1624977643 1
10.0%
ValueCountFrequency (%)
1.394531502 1
10.0%
0.9636226358 1
10.0%
0.7730823724 1
10.0%
0.5645671947 1
10.0%
0.2106494864 1
10.0%

roce
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3848078296
Minimum-2.29986066
Maximum1.38534584
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:52:10.494431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.29986066
5-th percentile-2.056587787
Q1-1.292494026
median-0.3064257072
Q30.3992988182
95-th percentile1.337935815
Maximum1.38534584
Range3.685206499
Interquartile range (IQR)1.691792845

Descriptive statistics

Standard deviation1.273001364
Coefficient of variation (CV)-3.308148293
Kurtosis-1.302997468
Mean-0.3848078296
Median Absolute Deviation (MAD)0.9671631159
Skewness0.004749274336
Sum-3.848078296
Variance1.620532474
MonotonicityNot monotonic
2025-03-30T10:52:10.956936image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.38534584 1
10.0%
-1.235778417 1
10.0%
1.27999023 1
10.0%
0.2599968096 1
10.0%
-1.31139923 1
10.0%
-2.29986066 1
10.0%
0.1532940019 1
10.0%
-1.759254276 1
10.0%
0.4457328211 1
10.0%
-0.7661454162 1
10.0%
ValueCountFrequency (%)
-2.29986066 1
10.0%
-1.759254276 1
10.0%
-1.31139923 1
10.0%
-1.235778417 1
10.0%
-0.7661454162 1
10.0%
ValueCountFrequency (%)
1.38534584 1
10.0%
1.27999023 1
10.0%
0.4457328211 1
10.0%
0.2599968096 1
10.0%
0.1532940019 1
10.0%

aftret_eq
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1610232317
Minimum-1.553909525
Maximum1.321230093
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:52:11.417994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.553909525
5-th percentile-1.156793615
Q1-0.3386671186
median0.1814421388
Q30.7368642872
95-th percentile1.192791683
Maximum1.321230093
Range2.875139617
Interquartile range (IQR)1.075531406

Descriptive statistics

Standard deviation0.8716816108
Coefficient of variation (CV)5.413390365
Kurtosis0.1723900541
Mean0.1610232317
Median Absolute Deviation (MAD)0.6236593424
Skewness-0.6948287446
Sum1.610232317
Variance0.7598288307
MonotonicityNot monotonic
2025-03-30T10:52:11.799096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.1836873294 1
10.0%
1.321230093 1
10.0%
0.7429450629 1
10.0%
0.1584523916 1
10.0%
1.035811403 1
10.0%
-0.504373622 1
10.0%
-1.553909525 1
10.0%
0.71862196 1
10.0%
-0.6714297251 1
10.0%
0.1791969482 1
10.0%
ValueCountFrequency (%)
-1.553909525 1
10.0%
-0.6714297251 1
10.0%
-0.504373622 1
10.0%
0.1584523916 1
10.0%
0.1791969482 1
10.0%
ValueCountFrequency (%)
1.321230093 1
10.0%
1.035811403 1
10.0%
0.7429450629 1
10.0%
0.71862196 1
10.0%
0.1836873294 1
10.0%

aftret_invcapx
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1884285206
Minimum-1.216999633
Maximum1.630660987
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:52:12.230016image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.216999633
5-th percentile-1.097090054
Q1-0.5078393884
median0.3757743798
Q30.6565037936
95-th percentile1.492895112
Maximum1.630660987
Range2.84766062
Interquartile range (IQR)1.164343182

Descriptive statistics

Standard deviation0.9359522947
Coefficient of variation (CV)4.96714771
Kurtosis-0.9038037945
Mean0.1884285206
Median Absolute Deviation (MAD)0.7853125555
Skewness-0.02727119814
Sum1.884285206
Variance0.876006698
MonotonicityNot monotonic
2025-03-30T10:52:12.767527image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.630660987 1
10.0%
0.4400215935 1
10.0%
-0.2461105139 1
10.0%
0.4664233007 1
10.0%
-1.216999633 1
10.0%
1.324514597 1
10.0%
0.3115271661 1
10.0%
-0.5950823466 1
10.0%
-0.9505339031 1
10.0%
0.719863958 1
10.0%
ValueCountFrequency (%)
-1.216999633 1
10.0%
-0.9505339031 1
10.0%
-0.5950823466 1
10.0%
-0.2461105139 1
10.0%
0.3115271661 1
10.0%
ValueCountFrequency (%)
1.630660987 1
10.0%
1.324514597 1
10.0%
0.719863958 1
10.0%
0.4664233007 1
10.0%
0.4400215935 1
10.0%

aftret_equity
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1195180976
Minimum-1.806393874
Maximum1.401573811
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:52:13.229884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.806393874
5-th percentile-1.386829763
Q1-0.5171218166
median0.1203466749
Q31.029701794
95-th percentile1.237786408
Maximum1.401573811
Range3.207967685
Interquartile range (IQR)1.54682361

Descriptive statistics

Standard deviation1.028470338
Coefficient of variation (CV)8.605143137
Kurtosis-0.4785381857
Mean0.1195180976
Median Absolute Deviation (MAD)0.9056200214
Skewness-0.5344039039
Sum1.195180976
Variance1.057751236
MonotonicityNot monotonic
2025-03-30T10:52:13.781168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.401573811 1
10.0%
1.033436891 1
10.0%
1.018496502 1
10.0%
1.037601806 1
10.0%
-0.8740291822 1
10.0%
0.2435594143 1
10.0%
-0.250053856 1
10.0%
-0.6061444702 1
10.0%
-0.00286606444 1
10.0%
-1.806393874 1
10.0%
ValueCountFrequency (%)
-1.806393874 1
10.0%
-0.8740291822 1
10.0%
-0.6061444702 1
10.0%
-0.250053856 1
10.0%
-0.00286606444 1
10.0%
ValueCountFrequency (%)
1.401573811 1
10.0%
1.037601806 1
10.0%
1.033436891 1
10.0%
1.018496502 1
10.0%
0.2435594143 1
10.0%

GProf
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09595418161
Minimum-1.045493217
Maximum1.725495362
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:52:14.261751image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.045493217
5-th percentile-1.028344255
Q1-0.966743059
median0.1830150088
Q30.9930763647
95-th percentile1.494048666
Maximum1.725495362
Range2.770988579
Interquartile range (IQR)1.959819424

Descriptive statistics

Standard deviation1.047244811
Coefficient of variation (CV)10.9140091
Kurtosis-1.515633472
Mean0.09595418161
Median Absolute Deviation (MAD)1.039379361
Skewness0.2464489681
Sum0.9595418161
Variance1.096721695
MonotonicityNot monotonic
2025-03-30T10:52:14.738397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.007384412 1
10.0%
1.725495362 1
10.0%
-1.045493217 1
10.0%
1.21116937 1
10.0%
-0.8675893508 1
10.0%
0.3795097828 1
10.0%
1.197598559 1
10.0%
0.1028167873 1
10.0%
-0.999794295 1
10.0%
0.2632132304 1
10.0%
ValueCountFrequency (%)
-1.045493217 1
10.0%
-1.007384412 1
10.0%
-0.999794295 1
10.0%
-0.8675893508 1
10.0%
0.1028167873 1
10.0%
ValueCountFrequency (%)
1.725495362 1
10.0%
1.21116937 1
10.0%
1.197598559 1
10.0%
0.3795097828 1
10.0%
0.2632132304 1
10.0%

equity_invcap
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3288650073
Minimum-2.381221265
Maximum2.131227476
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:52:15.246431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.381221265
5-th percentile-2.011094285
Q1-1.456693475
median-0.1068754963
Q30.2093037581
95-th percentile1.709563352
Maximum2.131227476
Range4.512448741
Interquartile range (IQR)1.665997233

Descriptive statistics

Standard deviation1.382656986
Coefficient of variation (CV)-4.20432991
Kurtosis-0.4457591651
Mean-0.3288650073
Median Absolute Deviation (MAD)1.287564475
Skewness0.2914833975
Sum-3.288650073
Variance1.911740342
MonotonicityNot monotonic
2025-03-30T10:52:15.770395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.0306211314 1
10.0%
-0.1831298613 1
10.0%
2.131227476 1
10.0%
-1.481947013 1
10.0%
-1.558716866 1
10.0%
-2.381221265 1
10.0%
1.19419609 1
10.0%
0.2173598371 1
10.0%
0.1851355208 1
10.0%
-1.38093286 1
10.0%
ValueCountFrequency (%)
-2.381221265 1
10.0%
-1.558716866 1
10.0%
-1.481947013 1
10.0%
-1.38093286 1
10.0%
-0.1831298613 1
10.0%
ValueCountFrequency (%)
2.131227476 1
10.0%
1.19419609 1
10.0%
0.2173598371 1
10.0%
0.1851355208 1
10.0%
-0.0306211314 1
10.0%

debt_invcap
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2672689893
Minimum-0.760691448
Maximum1.10507514
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:52:16.272006image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.760691448
5-th percentile-0.6071196423
Q1-0.03951473519
median0.323723668
Q30.5479972433
95-th percentile1.046750806
Maximum1.10507514
Range1.865766588
Interquartile range (IQR)0.5875119785

Descriptive statistics

Standard deviation0.581168883
Coefficient of variation (CV)2.17447181
Kurtosis-0.2959358841
Mean0.2672689893
Median Absolute Deviation (MAD)0.3304600424
Skewness-0.3380814279
Sum2.672689893
Variance0.3377572705
MonotonicityNot monotonic
2025-03-30T10:52:16.902935image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.10507514 1
10.0%
-0.4194207686 1
10.0%
-0.1031810652 1
10.0%
0.3653669371 1
10.0%
0.2820803989 1
10.0%
0.5187719143 1
10.0%
0.1514842547 1
10.0%
0.97546551 1
10.0%
-0.760691448 1
10.0%
0.5577390197 1
10.0%
ValueCountFrequency (%)
-0.760691448 1
10.0%
-0.4194207686 1
10.0%
-0.1031810652 1
10.0%
0.1514842547 1
10.0%
0.2820803989 1
10.0%
ValueCountFrequency (%)
1.10507514 1
10.0%
0.97546551 1
10.0%
0.5577390197 1
10.0%
0.5187719143 1
10.0%
0.3653669371 1
10.0%

totdebt_invcap
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4797368849
Minimum-1.681839436
Maximum1.931702079
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:52:17.459800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.681839436
5-th percentile-1.616970396
Q1-1.191930952
median-0.8223374555
Q30.0745012238
95-th percentile1.327084329
Maximum1.931702079
Range3.613541515
Interquartile range (IQR)1.266432176

Descriptive statistics

Standard deviation1.117164104
Coefficient of variation (CV)-2.32870171
Kurtosis1.151322337
Mean-0.4797368849
Median Absolute Deviation (MAD)0.6133608788
Skewness1.182329197
Sum-4.797368849
Variance1.248055636
MonotonicityNot monotonic
2025-03-30T10:52:17.978001image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.537686015 1
10.0%
0.5881070783 1
10.0%
-1.211360351 1
10.0%
-0.7207271291 1
10.0%
1.931702079 1
10.0%
-1.681839436 1
10.0%
-1.133642753 1
10.0%
0.2029897177 1
10.0%
-0.9239477818 1
10.0%
-0.3109642578 1
10.0%
ValueCountFrequency (%)
-1.681839436 1
10.0%
-1.537686015 1
10.0%
-1.211360351 1
10.0%
-1.133642753 1
10.0%
-0.9239477818 1
10.0%
ValueCountFrequency (%)
1.931702079 1
10.0%
0.5881070783 1
10.0%
0.2029897177 1
10.0%
-0.3109642578 1
10.0%
-0.7207271291 1
10.0%

capital_ratio
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02693682326
Minimum-1.623840338
Maximum1.824287505
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)60.0%
Memory size160.0 B
2025-03-30T10:52:18.455955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.623840338
5-th percentile-1.364889007
Q1-0.7002131427
median-0.3511866409
Q31.02316102
95-th percentile1.808229254
Maximum1.824287505
Range3.448127843
Interquartile range (IQR)1.723374162

Descriptive statistics

Standard deviation1.215147011
Coefficient of variation (CV)45.11099915
Kurtosis-1.101334486
Mean0.02693682326
Median Absolute Deviation (MAD)0.5734449655
Skewness0.530043783
Sum0.2693682326
Variance1.476582258
MonotonicityNot monotonic
2025-03-30T10:52:18.918959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.2368974907 1
10.0%
1.824287505 1
10.0%
1.331382361 1
10.0%
0.09849699466 1
10.0%
-1.048392936 1
10.0%
1.788602503 1
10.0%
-1.623840338 1
10.0%
-0.6977655786 1
10.0%
-0.465475791 1
10.0%
-0.7010289974 1
10.0%
ValueCountFrequency (%)
-1.623840338 1
10.0%
-1.048392936 1
10.0%
-0.7010289974 1
10.0%
-0.6977655786 1
10.0%
-0.465475791 1
10.0%
ValueCountFrequency (%)
1.824287505 1
10.0%
1.788602503 1
10.0%
1.331382361 1
10.0%
0.09849699466 1
10.0%
-0.2368974907 1
10.0%

cash_lt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1702539376
Minimum-1.877683604
Maximum2.371321808
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:52:19.395168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.877683604
5-th percentile-1.475721882
Q1-0.6313112671
median0.3152987993
Q30.795219441
95-th percentile1.832412883
Maximum2.371321808
Range4.249005412
Interquartile range (IQR)1.426530708

Descriptive statistics

Standard deviation1.211158465
Coefficient of variation (CV)7.113835266
Kurtosis0.2115929512
Mean0.1702539376
Median Absolute Deviation (MAD)0.7417781032
Skewness0.08838518
Sum1.702539376
Variance1.466904828
MonotonicityNot monotonic
2025-03-30T10:52:19.836050image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.3098097872 1
10.0%
1.173746419 1
10.0%
0.5107331209 1
10.0%
0.1198644778 1
10.0%
2.371321808 1
10.0%
0.5654821697 1
10.0%
-0.738478427 1
10.0%
0.8717985315 1
10.0%
-0.9844353338 1
10.0%
-1.877683604 1
10.0%
ValueCountFrequency (%)
-1.877683604 1
10.0%
-0.9844353338 1
10.0%
-0.738478427 1
10.0%
-0.3098097872 1
10.0%
0.1198644778 1
10.0%
ValueCountFrequency (%)
2.371321808 1
10.0%
1.173746419 1
10.0%
0.8717985315 1
10.0%
0.5654821697 1
10.0%
0.5107331209 1
10.0%

debt_at
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1030370947
Minimum-2.257836789
Maximum1.440166985
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:52:20.265236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.257836789
5-th percentile-2.091603495
Q1-0.4825086229
median0.1777423325
Q30.5791768364
95-th percentile1.320989597
Maximum1.440166985
Range3.698003774
Interquartile range (IQR)1.061685459

Descriptive statistics

Standard deviation1.203188824
Coefficient of variation (CV)-11.67723943
Kurtosis-0.1219479001
Mean-0.1030370947
Median Absolute Deviation (MAD)0.6037843698
Skewness-0.7525710874
Sum-1.030370947
Variance1.447663347
MonotonicityNot monotonic
2025-03-30T10:52:20.727589image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.659853977 1
10.0%
-2.257836789 1
10.0%
0.3371454145 1
10.0%
-0.5389752085 1
10.0%
-1.888429469 1
10.0%
0.09149951046 1
10.0%
-0.313108866 1
10.0%
0.2639851546 1
10.0%
1.175328344 1
10.0%
1.440166985 1
10.0%
ValueCountFrequency (%)
-2.257836789 1
10.0%
-1.888429469 1
10.0%
-0.5389752085 1
10.0%
-0.313108866 1
10.0%
0.09149951046 1
10.0%
ValueCountFrequency (%)
1.440166985 1
10.0%
1.175328344 1
10.0%
0.659853977 1
10.0%
0.3371454145 1
10.0%
0.2639851546 1
10.0%

debt_ebitda
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3648164834
Minimum-1.663218301
Maximum0.8528265125
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:52:21.169687image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.663218301
5-th percentile-1.534824376
Q1-0.6903359953
median-0.3342272542
Q30.1142016274
95-th percentile0.6713577794
Maximum0.8528265125
Range2.516044814
Interquartile range (IQR)0.8045376227

Descriptive statistics

Standard deviation0.7872704945
Coefficient of variation (CV)-2.15799047
Kurtosis-0.5596558729
Mean-0.3648164834
Median Absolute Deviation (MAD)0.4256414311
Skewness-0.2152812317
Sum-3.648164834
Variance0.6197948315
MonotonicityNot monotonic
2025-03-30T10:52:21.648544image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.4495626611 1
10.0%
-1.663218301 1
10.0%
0.8528265125 1
10.0%
-0.02245172818 1
10.0%
-0.6867536326 1
10.0%
-0.5744979484 1
10.0%
-0.6915301162 1
10.0%
-0.0939565601 1
10.0%
-1.377898467 1
10.0%
0.159752746 1
10.0%
ValueCountFrequency (%)
-1.663218301 1
10.0%
-1.377898467 1
10.0%
-0.6915301162 1
10.0%
-0.6867536326 1
10.0%
-0.5744979484 1
10.0%
ValueCountFrequency (%)
0.8528265125 1
10.0%
0.4495626611 1
10.0%
0.159752746 1
10.0%
-0.02245172818 1
10.0%
-0.0939565601 1
10.0%

lt_debt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02177714893
Minimum-2.216528597
Maximum1.878302394
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:52:22.090644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.216528597
5-th percentile-2.213298896
Q1-0.2460067094
median0.06329889404
Q30.9336697923
95-th percentile1.671746569
Maximum1.878302394
Range4.09483099
Interquartile range (IQR)1.179676502

Descriptive statistics

Standard deviation1.37107465
Coefficient of variation (CV)62.95932744
Kurtosis-0.2143982298
Mean0.02177714893
Median Absolute Deviation (MAD)0.7610597281
Skewness-0.6443202568
Sum0.2177714893
Variance1.879845697
MonotonicityNot monotonic
2025-03-30T10:52:22.552091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.2773857662 1
10.0%
-2.216528597 1
10.0%
1.41928945 1
10.0%
-0.1518695388 1
10.0%
1.042980962 1
10.0%
0.6057362819 1
10.0%
-0.04618132094 1
10.0%
1.878302394 1
10.0%
0.172779109 1
10.0%
-2.209351485 1
10.0%
ValueCountFrequency (%)
-2.216528597 1
10.0%
-2.209351485 1
10.0%
-0.2773857662 1
10.0%
-0.1518695388 1
10.0%
-0.04618132094 1
10.0%
ValueCountFrequency (%)
1.878302394 1
10.0%
1.41928945 1
10.0%
1.042980962 1
10.0%
0.6057362819 1
10.0%
0.172779109 1
10.0%

cash_debt
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1501745715
Minimum-1.312452143
Maximum1.280853603
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:52:22.978742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.312452143
5-th percentile-1.230233328
Q1-0.8507866771
median-0.2665901982
Q30.5412031981
95-th percentile1.149271092
Maximum1.280853603
Range2.593305746
Interquartile range (IQR)1.391989875

Descriptive statistics

Standard deviation0.9201103827
Coefficient of variation (CV)-6.126938625
Kurtosis-1.432087137
Mean-0.1501745715
Median Absolute Deviation (MAD)0.7401967711
Skewness0.3135535705
Sum-1.501745715
Variance0.8466031163
MonotonicityNot monotonic
2025-03-30T10:52:23.393247image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6339158466 1
10.0%
0.6624988823 1
10.0%
-0.7516558901 1
10.0%
1.280853603 1
10.0%
0.1007354501 1
10.0%
-1.312452143 1
10.0%
0.9884480218 1
10.0%
-1.129743666 1
10.0%
-0.8838302728 1
10.0%
0.1773161455 1
10.0%
ValueCountFrequency (%)
-1.312452143 1
10.0%
-1.129743666 1
10.0%
-0.8838302728 1
10.0%
-0.7516558901 1
10.0%
-0.6339158466 1
10.0%
ValueCountFrequency (%)
1.280853603 1
10.0%
0.9884480218 1
10.0%
0.6624988823 1
10.0%
0.1773161455 1
10.0%
0.1007354501 1
10.0%

lt_ppent
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02120238069
Minimum-0.9653694663
Maximum1.103015475
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:52:23.823893image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9653694663
5-th percentile-0.924243096
Q1-0.6440674193
median0.04367084184
Q30.5486842373
95-th percentile0.9317764207
Maximum1.103015475
Range2.068384941
Interquartile range (IQR)1.192751657

Descriptive statistics

Standard deviation0.7188092321
Coefficient of variation (CV)-33.90228873
Kurtosis-1.328374673
Mean-0.02120238069
Median Absolute Deviation (MAD)0.6386626775
Skewness0.1024403422
Sum-0.2120238069
Variance0.5166867121
MonotonicityNot monotonic
2025-03-30T10:52:24.260895image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6901900539 1
10.0%
0.0390979956 1
10.0%
0.04824368808 1
10.0%
0.6421827951 1
10.0%
0.7224842436 1
10.0%
-0.8739775323 1
10.0%
-0.9653694663 1
10.0%
-0.5056995154 1
10.0%
1.103015475 1
10.0%
0.268188564 1
10.0%
ValueCountFrequency (%)
-0.9653694663 1
10.0%
-0.8739775323 1
10.0%
-0.6901900539 1
10.0%
-0.5056995154 1
10.0%
0.0390979956 1
10.0%
ValueCountFrequency (%)
1.103015475 1
10.0%
0.7224842436 1
10.0%
0.6421827951 1
10.0%
0.268188564 1
10.0%
0.04824368808 1
10.0%

dltt_be
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07734499601
Minimum-1.68741888
Maximum1.261914095
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:52:24.666929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.68741888
5-th percentile-1.461564615
Q1-0.2548334625
median0.1665420596
Q30.6302884522
95-th percentile1.250763945
Maximum1.261914095
Range2.949332974
Interquartile range (IQR)0.8851219148

Descriptive statistics

Standard deviation0.9600773505
Coefficient of variation (CV)12.41292133
Kurtosis-0.1718436262
Mean0.07734499601
Median Absolute Deviation (MAD)0.4662183645
Skewness-0.6295392231
Sum0.7734499601
Variance0.9217485189
MonotonicityNot monotonic
2025-03-30T10:52:25.097592image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.2943271635 1
10.0%
-1.68741888 1
10.0%
1.237135984 1
10.0%
0.6068251124 1
10.0%
0.01877252384 1
10.0%
0.6381095655 1
10.0%
0.3143115954 1
10.0%
1.261914095 1
10.0%
-1.185520513 1
10.0%
-0.1363523597 1
10.0%
ValueCountFrequency (%)
-1.68741888 1
10.0%
-1.185520513 1
10.0%
-0.2943271635 1
10.0%
-0.1363523597 1
10.0%
0.01877252384 1
10.0%
ValueCountFrequency (%)
1.261914095 1
10.0%
1.237135984 1
10.0%
0.6381095655 1
10.0%
0.6068251124 1
10.0%
0.3143115954 1
10.0%

debt_assets
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4490209447
Minimum-1.217894277
Maximum1.627442953
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)20.0%
Memory size160.0 B
2025-03-30T10:52:25.496374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.217894277
5-th percentile-1.195247055
Q10.2924960509
median0.68252159
Q30.9203734154
95-th percentile1.512926981
Maximum1.627442953
Range2.84533723
Interquartile range (IQR)0.6278773645

Descriptive statistics

Standard deviation0.9557147874
Coefficient of variation (CV)2.128441443
Kurtosis0.1889102655
Mean0.4490209447
Median Absolute Deviation (MAD)0.3707770202
Skewness-0.9897890719
Sum4.490209447
Variance0.9133907549
MonotonicityNot monotonic
2025-03-30T10:52:25.927840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.372963014 1
10.0%
-1.217894277 1
10.0%
0.5675574104 1
10.0%
0.9560910632 1
10.0%
1.627442953 1
10.0%
0.2145370228 1
10.0%
0.8132204722 1
10.0%
0.7974857696 1
10.0%
-1.167567117 1
10.0%
0.5263731351 1
10.0%
ValueCountFrequency (%)
-1.217894277 1
10.0%
-1.167567117 1
10.0%
0.2145370228 1
10.0%
0.5263731351 1
10.0%
0.5675574104 1
10.0%
ValueCountFrequency (%)
1.627442953 1
10.0%
1.372963014 1
10.0%
0.9560910632 1
10.0%
0.8132204722 1
10.0%
0.7974857696 1
10.0%

debt_capital
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3014907913
Minimum-0.6096518257
Maximum1.784601055
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)40.0%
Memory size160.0 B
2025-03-30T10:52:26.357774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.6096518257
5-th percentile-0.5888714078
Q1-0.3703115684
median0.2785100967
Q30.535579431
95-th percentile1.6216154
Maximum1.784601055
Range2.394252881
Interquartile range (IQR)0.9058909994

Descriptive statistics

Standard deviation0.8072795918
Coefficient of variation (CV)2.677626034
Kurtosis-0.2103840998
Mean0.3014907913
Median Absolute Deviation (MAD)0.5589900629
Skewness0.7345949594
Sum3.014907913
Variance0.6517003393
MonotonicityNot monotonic
2025-03-30T10:52:26.820804image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6096518257 1
10.0%
1.422410709 1
10.0%
0.2724296836 1
10.0%
-0.1008167617 1
10.0%
0.2845905097 1
10.0%
1.784601055 1
10.0%
-0.4601431707 1
10.0%
0.4062823858 1
10.0%
0.5786784461 1
10.0%
-0.5634731191 1
10.0%
ValueCountFrequency (%)
-0.6096518257 1
10.0%
-0.5634731191 1
10.0%
-0.4601431707 1
10.0%
-0.1008167617 1
10.0%
0.2724296836 1
10.0%
ValueCountFrequency (%)
1.784601055 1
10.0%
1.422410709 1
10.0%
0.5786784461 1
10.0%
0.4062823858 1
10.0%
0.2845905097 1
10.0%

de_ratio
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3033907316
Minimum-1.073058919
Maximum1.79768653
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:52:27.251899image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.073058919
5-th percentile-0.9261971293
Q1-0.5435379271
median0.09441975969
Q31.223157553
95-th percentile1.675735652
Maximum1.79768653
Range2.87074545
Interquartile range (IQR)1.76669548

Descriptive statistics

Standard deviation1.021385459
Coefficient of variation (CV)3.366567771
Kurtosis-1.461050292
Mean0.3033907316
Median Absolute Deviation (MAD)0.8069086507
Skewness0.213976525
Sum3.033907316
Variance1.043228256
MonotonicityNot monotonic
2025-03-30T10:52:27.655068image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.2460300742 1
10.0%
-0.05719055484 1
10.0%
1.36729015 1
10.0%
0.7907597608 1
10.0%
-0.6782783958 1
10.0%
1.526684578 1
10.0%
1.79768653 1
10.0%
-0.1393165208 1
10.0%
-0.7466993861 1
10.0%
-1.073058919 1
10.0%
ValueCountFrequency (%)
-1.073058919 1
10.0%
-0.7466993861 1
10.0%
-0.6782783958 1
10.0%
-0.1393165208 1
10.0%
-0.05719055484 1
10.0%
ValueCountFrequency (%)
1.79768653 1
10.0%
1.526684578 1
10.0%
1.36729015 1
10.0%
0.7907597608 1
10.0%
0.2460300742 1
10.0%

at_turn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4912142573
Minimum-1.578692679
Maximum1.712342325
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:52:28.065476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.578692679
5-th percentile-1.036159677
Q1-0.1119737705
median0.5566088243
Q31.283914684
95-th percentile1.696540463
Maximum1.712342325
Range3.291035004
Interquartile range (IQR)1.395888455

Descriptive statistics

Standard deviation1.052664353
Coefficient of variation (CV)2.142984121
Kurtosis-0.06116124668
Mean0.4912142573
Median Absolute Deviation (MAD)0.7545643333
Skewness-0.6516161238
Sum4.912142573
Variance1.10810224
MonotonicityNot monotonic
2025-03-30T10:52:28.507915image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.943302867 1
10.0%
1.677227076 1
10.0%
-1.578692679 1
10.0%
0.1699147815 1
10.0%
0.07080916885 1
10.0%
-0.373063787 1
10.0%
1.33622725 1
10.0%
1.712342325 1
10.0%
1.126976987 1
10.0%
-0.1729014169 1
10.0%
ValueCountFrequency (%)
-1.578692679 1
10.0%
-0.373063787 1
10.0%
-0.1729014169 1
10.0%
0.07080916885 1
10.0%
0.1699147815 1
10.0%
ValueCountFrequency (%)
1.712342325 1
10.0%
1.677227076 1
10.0%
1.33622725 1
10.0%
1.126976987 1
10.0%
0.943302867 1
10.0%

rect_turn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.436048884
Minimum-0.9384353448
Maximum0.1350883236
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)90.0%
Memory size160.0 B
2025-03-30T10:52:28.977580image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9384353448
5-th percentile-0.9148764693
Q1-0.695341007
median-0.3550398785
Q3-0.2214898422
95-th percentile0.01260144401
Maximum0.1350883236
Range1.073523668
Interquartile range (IQR)0.4738511648

Descriptive statistics

Standard deviation0.3546364537
Coefficient of variation (CV)-0.8132951755
Kurtosis-1.121891507
Mean-0.436048884
Median Absolute Deviation (MAD)0.2679477241
Skewness-0.02960222119
Sum-4.36048884
Variance0.1257670143
MonotonicityNot monotonic
2025-03-30T10:52:29.444975image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9384353448 1
10.0%
0.1350883236 1
10.0%
-0.2189362366 1
10.0%
-0.6730001903 1
10.0%
-0.2304400112 1
10.0%
-0.7027879459 1
10.0%
-0.4796397458 1
10.0%
-0.1371047421 1
10.0%
-0.229150659 1
10.0%
-0.8860822882 1
10.0%
ValueCountFrequency (%)
-0.9384353448 1
10.0%
-0.8860822882 1
10.0%
-0.7027879459 1
10.0%
-0.6730001903 1
10.0%
-0.4796397458 1
10.0%
ValueCountFrequency (%)
0.1350883236 1
10.0%
-0.1371047421 1
10.0%
-0.2189362366 1
10.0%
-0.229150659 1
10.0%
-0.2304400112 1
10.0%

pay_turn
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.008560408479
Minimum-1.347314942
Maximum1.425026405
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:52:29.870599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.347314942
5-th percentile-1.157365211
Q1-0.3896828327
median-0.06167639145
Q30.2752087205
95-th percentile1.257316942
Maximum1.425026405
Range2.772341346
Interquartile range (IQR)0.6648915532

Descriptive statistics

Standard deviation0.8328797362
Coefficient of variation (CV)-97.29439175
Kurtosis-0.04982413952
Mean-0.008560408479
Median Absolute Deviation (MAD)0.3508514113
Skewness0.2208905686
Sum-0.08560408479
Variance0.6936886549
MonotonicityNot monotonic
2025-03-30T10:52:30.293386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.1517705129 1
10.0%
-1.347314942 1
10.0%
0.2663802009 1
10.0%
-0.9252044288 1
10.0%
1.425026405 1
10.0%
-0.2880775442 1
10.0%
0.2781515604 1
10.0%
-0.4235512622 1
10.0%
0.02841773005 1
10.0%
1.052338709 1
10.0%
ValueCountFrequency (%)
-1.347314942 1
10.0%
-0.9252044288 1
10.0%
-0.4235512622 1
10.0%
-0.2880775442 1
10.0%
-0.1517705129 1
10.0%
ValueCountFrequency (%)
1.425026405 1
10.0%
1.052338709 1
10.0%
0.2781515604 1
10.0%
0.2663802009 1
10.0%
0.02841773005 1
10.0%

sale_invcap
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5264196024
Minimum-1.207582858
Maximum0.3199223812
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)90.0%
Memory size160.0 B
2025-03-30T10:52:30.692449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.207582858
5-th percentile-1.165571084
Q1-0.9461452522
median-0.508783444
Q3-0.1396690787
95-th percentile0.166550343
Maximum0.3199223812
Range1.527505239
Interquartile range (IQR)0.8064761736

Descriptive statistics

Standard deviation0.507441691
Coefficient of variation (CV)-0.9639490792
Kurtosis-0.9791241804
Mean-0.5264196024
Median Absolute Deviation (MAD)0.4724116609
Skewness0.2136290531
Sum-5.264196024
Variance0.2574970698
MonotonicityNot monotonic
2025-03-30T10:52:31.125870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.207582858 1
10.0%
-0.4444195494 1
10.0%
-0.02090437046 1
10.0%
-0.05183919576 1
10.0%
-1.007869001 1
10.0%
0.3199223812 1
10.0%
-0.4031587274 1
10.0%
-1.114223359 1
10.0%
-0.5731473386 1
10.0%
-0.7609740047 1
10.0%
ValueCountFrequency (%)
-1.207582858 1
10.0%
-1.114223359 1
10.0%
-1.007869001 1
10.0%
-0.7609740047 1
10.0%
-0.5731473386 1
10.0%
ValueCountFrequency (%)
0.3199223812 1
10.0%
-0.02090437046 1
10.0%
-0.05183919576 1
10.0%
-0.4031587274 1
10.0%
-0.4444195494 1
10.0%

sale_equity
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4849316654
Minimum-0.9029083659
Maximum1.959576493
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:52:31.587533image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9029083659
5-th percentile-0.5638565496
Q1-0.04724415921
median0.2609825252
Q30.9005643343
95-th percentile1.80702451
Maximum1.959576493
Range2.862484858
Interquartile range (IQR)0.9478084935

Descriptive statistics

Standard deviation0.8635725855
Coefficient of variation (CV)1.780812942
Kurtosis-0.2320164829
Mean0.4849316654
Median Absolute Deviation (MAD)0.5063717555
Skewness0.3430043593
Sum4.849316654
Variance0.7457576105
MonotonicityNot monotonic
2025-03-30T10:52:32.005387image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.9029083659 1
10.0%
1.620572086 1
10.0%
-0.1061365247 1
10.0%
1.959576493 1
10.0%
0.1294329373 1
10.0%
-0.1494598853 1
10.0%
0.9129912372 1
10.0%
0.8632836257 1
10.0%
0.1699419246 1
10.0%
0.3520231259 1
10.0%
ValueCountFrequency (%)
-0.9029083659 1
10.0%
-0.1494598853 1
10.0%
-0.1061365247 1
10.0%
0.1294329373 1
10.0%
0.1699419246 1
10.0%
ValueCountFrequency (%)
1.959576493 1
10.0%
1.620572086 1
10.0%
0.9129912372 1
10.0%
0.8632836257 1
10.0%
0.3520231259 1
10.0%

rd_sale
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06136048113
Minimum-1.962182628
Maximum1.573913982
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:52:32.459758image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.962182628
5-th percentile-1.405367628
Q1-0.5170295614
median0.1460224489
Q30.6092303683
95-th percentile1.420168557
Maximum1.573913982
Range3.53609661
Interquartile range (IQR)1.12625993

Descriptive statistics

Standard deviation1.034596075
Coefficient of variation (CV)16.86095115
Kurtosis0.3517685945
Mean0.06136048113
Median Absolute Deviation (MAD)0.6161369345
Skewness-0.4653826262
Sum0.6136048113
Variance1.070389039
MonotonicityNot monotonic
2025-03-30T10:52:32.911182image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.962182628 1
10.0%
1.232257482 1
10.0%
0.6577409817 1
10.0%
-0.7248159623 1
10.0%
-0.1376176796 1
10.0%
-0.5745328874 1
10.0%
0.4296625775 1
10.0%
1.573913982 1
10.0%
0.463698528 1
10.0%
-0.3445195835 1
10.0%
ValueCountFrequency (%)
-1.962182628 1
10.0%
-0.7248159623 1
10.0%
-0.5745328874 1
10.0%
-0.3445195835 1
10.0%
-0.1376176796 1
10.0%
ValueCountFrequency (%)
1.573913982 1
10.0%
1.232257482 1
10.0%
0.6577409817 1
10.0%
0.463698528 1
10.0%
0.4296625775 1
10.0%

adv_sale
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06898047015
Minimum-1.248742953
Maximum1.413026015
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)50.0%
Memory size160.0 B
2025-03-30T10:52:33.374237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.248742953
5-th percentile-1.073746736
Q1-0.6689634381
median0.01976047114
Q30.2883313651
95-th percentile0.9729547213
Maximum1.413026015
Range2.661768969
Interquartile range (IQR)0.9572948032

Descriptive statistics

Standard deviation0.7702564804
Coefficient of variation (CV)-11.16629792
Kurtosis0.3526077004
Mean-0.06898047015
Median Absolute Deviation (MAD)0.3440464975
Skewness0.2783379154
Sum-0.6898047015
Variance0.5932950456
MonotonicityNot monotonic
2025-03-30T10:52:33.828658image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.8598624692 1
10.0%
0.2925241305 1
10.0%
-0.08367955097 1
10.0%
0.1232004932 1
10.0%
-0.2177429872 1
10.0%
0.4350898067 1
10.0%
-1.248742953 1
10.0%
-0.8193702551 1
10.0%
0.2757530686 1
10.0%
1.413026015 1
10.0%
ValueCountFrequency (%)
-1.248742953 1
10.0%
-0.8598624692 1
10.0%
-0.8193702551 1
10.0%
-0.2177429872 1
10.0%
-0.08367955097 1
10.0%
ValueCountFrequency (%)
1.413026015 1
10.0%
0.4350898067 1
10.0%
0.2925241305 1
10.0%
0.2757530686 1
10.0%
0.1232004932 1
10.0%

staff_sale
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.648626965
Minimum-1.447213461
Maximum2.45485802
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)30.0%
Memory size160.0 B
2025-03-30T10:52:34.265206image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.447213461
5-th percentile-1.356259879
Q1-0.2584972501
median0.8821978528
Q31.706654236
95-th percentile2.208628196
Maximum2.45485802
Range3.902071481
Interquartile range (IQR)1.965151487

Descriptive statistics

Standard deviation1.340264632
Coefficient of variation (CV)2.066310382
Kurtosis-0.9876842313
Mean0.648626965
Median Absolute Deviation (MAD)1.01290023
Skewness-0.4373316002
Sum6.48626965
Variance1.796309283
MonotonicityNot monotonic
2025-03-30T10:52:34.733459image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.5020803848 1
10.0%
1.053695202 1
10.0%
2.45485802 1
10.0%
-1.447213461 1
10.0%
1.179070353 1
10.0%
-0.5120231283 1
10.0%
0.7107005033 1
10.0%
1.907680634 1
10.0%
1.882515531 1
10.0%
-1.24509439 1
10.0%
ValueCountFrequency (%)
-1.447213461 1
10.0%
-1.24509439 1
10.0%
-0.5120231283 1
10.0%
0.5020803848 1
10.0%
0.7107005033 1
10.0%
ValueCountFrequency (%)
2.45485802 1
10.0%
1.907680634 1
10.0%
1.882515531 1
10.0%
1.179070353 1
10.0%
1.053695202 1
10.0%

accrual
Real number (ℝ)

Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2202536086
Minimum-1.495580576
Maximum1.879410807
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)70.0%
Memory size160.0 B
2025-03-30T10:52:35.204578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.495580576
5-th percentile-1.303089428
Q1-0.6336273397
median-0.4527047926
Q30.07424385446
95-th percentile1.342879344
Maximum1.879410807
Range3.374991384
Interquartile range (IQR)0.7078711942

Descriptive statistics

Standard deviation0.9538817077
Coefficient of variation (CV)-4.330833504
Kurtosis1.82046323
Mean-0.2202536086
Median Absolute Deviation (MAD)0.4346865584
Skewness1.15248235
Sum-2.202536086
Variance0.9098903122
MonotonicityNot monotonic
2025-03-30T10:52:35.668557image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-0.6337820958 1
10.0%
0.16514159 1
10.0%
-0.5354508891 1
10.0%
0.6871186664 1
10.0%
1.879410807 1
10.0%
-1.495580576 1
10.0%
-0.369958696 1
10.0%
-1.067822469 1
10.0%
-0.6331630716 1
10.0%
-0.1984493523 1
10.0%
ValueCountFrequency (%)
-1.495580576 1
10.0%
-1.067822469 1
10.0%
-0.6337820958 1
10.0%
-0.6331630716 1
10.0%
-0.5354508891 1
10.0%
ValueCountFrequency (%)
1.879410807 1
10.0%
0.6871186664 1
10.0%
0.16514159 1
10.0%
-0.1984493523 1
10.0%
-0.369958696 1
10.0%
Distinct5
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size160.0 B
2025-03-30T10:52:36.326844image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length116
Median length106.5
Mean length100.4
Min length83

Characters and Unicode

Total characters1004
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)10.0%

Sample

1st rowThe company reported a steady increase in revenue, reflecting strong market demand.
2nd rowThe outlook remains positive, with expected growth in both domestic and international markets.
3rd rowEarnings before interest and taxes improved significantly from last year, driven by cost reduction measures.
4th rowThe company reported a steady increase in revenue, reflecting strong market demand.
5th rowEarnings before interest and taxes improved significantly from last year, driven by cost reduction measures.
ValueCountFrequency (%)
in 8
 
5.8%
the 7
 
5.0%
and 6
 
4.3%
interest 3
 
2.2%
taxes 3
 
2.2%
improved 3
 
2.2%
significantly 3
 
2.2%
from 3
 
2.2%
last 3
 
2.2%
before 3
 
2.2%
Other values (49) 97
69.8%
2025-03-30T10:52:37.473450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
12.8%
e 108
 
10.8%
i 86
 
8.6%
t 75
 
7.5%
n 74
 
7.4%
a 61
 
6.1%
s 61
 
6.1%
r 60
 
6.0%
o 46
 
4.6%
d 30
 
3.0%
Other values (22) 274
27.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1004
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
129
12.8%
e 108
 
10.8%
i 86
 
8.6%
t 75
 
7.5%
n 74
 
7.4%
a 61
 
6.1%
s 61
 
6.1%
r 60
 
6.0%
o 46
 
4.6%
d 30
 
3.0%
Other values (22) 274
27.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1004
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
129
12.8%
e 108
 
10.8%
i 86
 
8.6%
t 75
 
7.5%
n 74
 
7.4%
a 61
 
6.1%
s 61
 
6.1%
r 60
 
6.0%
o 46
 
4.6%
d 30
 
3.0%
Other values (22) 274
27.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1004
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
129
12.8%
e 108
 
10.8%
i 86
 
8.6%
t 75
 
7.5%
n 74
 
7.4%
a 61
 
6.1%
s 61
 
6.1%
r 60
 
6.0%
o 46
 
4.6%
d 30
 
3.0%
Other values (22) 274
27.3%